CN106157287B - Data processing equipment, data processing method and medical image equipment - Google Patents
Data processing equipment, data processing method and medical image equipment Download PDFInfo
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Abstract
This disclosure relates to a kind of data processing equipment for being handled medical image, data processing method and medical image equipment, the data processing equipment includes: data loading unit, is configured as loading the data for being scanned one or more voxels obtained by the privileged site to subject's body；Change detection unit, be configured as being compared to detect changed voxel by using the characteristic parameter obtained from the data, it is more than predetermined extent that wherein the variation, which is characterized parameter and the difference of reference value,；And variation display unit, it is configured as indicating to the user that the position for the voxel that the variation occurs and the degree of variation by display.
Description
Technical field
This application involves medical image process fields, realize in particular to a kind of to medical image
The data processing equipment and data processing method and medical image equipment of fast automatic processing.
Background technique
With the development of Medical Imaging Technology, the application of medical imaging devices is popularized.It is obtained by medical imaging devices
The image obtained has huge information content, needs the professional of such as doctor to extract several on the target area of object being observed
A voxel, then check to voxel data obtained one by one, and is judged based on these data by personal experience, example
Such as, if there are the voxels that lesion occurs for possibility.This mode is due to needing to carry out operation to voxel one by one thus cannot be quick
And the voxel and its variation degree that significant changes occur compared with normal voxel are efficiently identified out, and do not have before may missing
There is the voxel anticipated and lesion can occur.Further, since being based only upon personal experience, judgement is caused to be likely to be inaccuracy.
Therefore, it is desirable to which presence one kind can be fast automatic and accurately identifies the voxel that significant changes occur with discovery value
The part that must be paid close attention to is for the technology that further checks.Further, also it is desirable to can be by the technology to the same of same patient
The situation at one position is tracked and is compared.
Summary of the invention
It has been given below about brief overview of the invention, in order to provide about the basic of certain aspects of the invention
Understand.It should be appreciated that this summary is not an exhaustive overview of the invention.It is not intended to determine pass of the invention
Key or pith, nor is it intended to limit the scope of the present invention.Its purpose only provides certain concepts in simplified form,
Taking this as a prelude to a more detailed description discussed later.
According to an aspect of the invention, there is provided a kind of data processing equipment, comprising: data loading unit is configured
To load the data for being scanned one or more voxels obtained by the privileged site to subject's body；Variation detection
Unit is configured as being compared to detect changed voxel by using the characteristic parameter obtained from the data,
In the variation to be characterized the difference of parameter and reference value be more than predetermined extent；And variation display unit, it is configured as passing through display
Device indicates to the user that the degree of position and variation that the voxel of the variation occurs.
According to another aspect of the present invention, a kind of medical image equipment includes: the number of the above according to the present invention
According to processing unit.
According to another aspect of the present invention, a kind of data processing method is provided, comprising: load is by subject's body
Privileged site be scanned the data of one or more voxels obtained；By using the feature obtained from the data
Parameter is compared to detect changed voxel, and it is more than predetermined journey that wherein the variation, which is characterized parameter and the difference of reference value,
Degree；And the position that the voxel of the variation occurs and the degree of variation are indicated to the user that by display.
In addition, another aspect of the present invention additionally provides for realizing the computer program of above-mentioned data processing method.
In addition, another aspect of the present invention additionally provides the computer program product of at least computer-readable medium form,
Record has for realizing the computer program code of above-mentioned data processing method thereon.
It is multiple by loading simultaneously in data processing method of the invention, data processing equipment and data vision facilities
The scan data of voxel and the automatic detection of changed voxel is realized by comparing, to find the part to merit attention
For further checking.This makes it possible to realize quick, the efficient and accurate identification of changed voxel.
Detailed description of the invention
The present invention can be by reference to being better understood, wherein in institute below in association with description given by attached drawing
Have and has used the same or similar appended drawing reference in attached drawing to indicate same or similar component.The attached drawing is together with following
It is described in detail together comprising in the present specification and forming a part of this specification, and is used to that this is further illustrated
The preferred embodiment and explanation the principle of the present invention and advantage of invention.In the accompanying drawings:
Fig. 1 is to show the structural block diagram of data processing equipment according to an embodiment of the invention；
Fig. 2 is to show the structure of the variation detection unit in data processing equipment according to an embodiment of the invention
The example of block diagram；
Fig. 3 is to show the structural block diagram of data processing equipment according to another embodiment of the invention；
Fig. 4 is the knot of the scanning planning unit in the data processing equipment shown according to another embodiment of the invention
The example of structure block diagram；
Fig. 5 is to show the structural block diagram of data processing equipment according to still another embodiment of the invention；
Fig. 6 is to show the structural block diagram of data processing equipment according to another embodiment of the invention；
Fig. 7 is to show the schematic flow chart of data processing method according to an embodiment of the invention；
Fig. 8 is to show the schematic flow chart of data processing method according to another embodiment of the invention；
Fig. 9 is to show the schematic flow chart of the sub-step of the step S22 in Fig. 8；
Figure 10 is to show the schematic flow chart of data processing method according to still another embodiment of the invention；
Figure 11 is to show the schematic block diagram of medical image equipment according to an embodiment of the invention；And
Figure 12 is to show the exemplary block diagram that the embodiment of the present invention/exemplary computer structure may be implemented.
Specific embodiment
Illustrate the embodiment of the present invention below with reference to accompanying drawings.In an attached drawing of the invention or a kind of embodiment
The elements and features of description can be combined with elements and features shown in one or more other attached drawings or embodiment.
It should be noted that for purposes of clarity, unrelated to the invention, those of ordinary skill in the art have been omitted in attached drawing and explanation
The expression and description of the component and processing known.
Fig. 1 shows the structural block diagram of the data processing equipment 100 according to one embodiment of the application, the data processing
Device 100 is for handling medical image, as shown in Figure 1, data processing equipment 100 includes: data loading unit
101, it is configured as loading the number for being scanned one or more voxels obtained by the privileged site to subject's body
According to；Change detection unit 102, is configured as being compared to detection by using the characteristic parameter obtained from the data
The voxel of variation, it is more than predetermined extent that wherein the variation, which is characterized parameter and the difference of reference value,；And variation display unit 103,
It is configured as indicating to the user that the position for the voxel that the variation occurs and the degree of variation by display.
In the description of the example, it is scanned using privileged site of the medical imaging devices to the subject's body to be scanned
Come obtain needs one or more voxels image data.According to the number of voxel of single sweep operation, scanning may include list
Voxel scanning and multi-voxel proton scanning.It will be understood, however, that needing the case where scanning multiple voxels if scanned using monomer element
Under, it needs to take multiple scan and saves scan data respectively；And using multi-voxel proton scanning, it can once sweep
Multiple voxels are operated in retouching and save data.
Data loading unit 101 loads the data being achieved in that for subsequent processing.Specifically, data loading unit
101 can load the data for saving ground respectively or saving multiple voxels jointly in a manner of looking like same group of data.By
In for example need not the multiple monomer element scan datas of manual loading, therefore treatment effeciency can be improved.
The object of scanning can be human or animal, and the privileged site of body may include being clearly not limited to brain, lung, the heart
Each organ or tissue such as dirty, liver, kidney.Here medical imaging devices are referred to as medical diagnostic equipment, including but unlimited
In x-ray imaging diagnostic device, ultrasonic wave (UL) diagnostic imaging apparatus, computed tomography (CT) equipment, magnetic resonance imaging
(MRI) equipment or positron emission computerized tomography (Positron Emission Tomography, PET) equipment etc..
After loading data, variation detection unit 102 can obtain relevant characteristic parameter from the data, and pass through
It is compared to find out changed voxel using this feature parameter.Specifically, for each voxel, this feature parameter tool
There is reference value, if the difference of characteristic parameter obtained and reference value is more than predetermined extent, shows that the voxel is changed.
Then, the position of changed voxel is indicated to user by display by variation display unit 103, and simultaneously
It also can indicate that the degree of variation.In the case where multiple voxels, the position where judging the voxel of most serious can be saved
Time.Wherein, the degree of variation can be limited by the mean value and variance of characteristic parameter.
In one embodiment, above-mentioned reference value include in the respective value and history value of empirical value, symmetrical voxel at least
One.
Fig. 2 is 102 yuan of list of variation detection shown in data processing equipment 100 according to an embodiment of the invention
Structural block diagram example.Due to rule of thumb, extracted characteristic parameter should have under normal circumstances a certain value or certain
Value in one range, therefore, variation detection unit 102 may include empirical value comparison module 2001, as shown in Fig. 2, empirical value
Comparison module 2001 is configured as characteristic parameter obtained being compared with preset empirical value.
In one embodiment, empirical value and at least one in privileged site, scanning sequence, object race, subject age
It is a related, and obtained from database trained in advance.Empirical value is also possible to the threshold value being gained through experience.
In addition, since human body or animal body are usually symmetrical, it can be by comparing two in symmetric position
The individual features parameter of voxel is to determine whether one of voxel changes.As shown in Fig. 2, variation detection unit 102 is also
It may include: location matches module 2002, be configured as obtaining position and its symmetrical voxel for a voxel；And it is symmetrical
Comparison module 2003 is configured as the characteristic parameter of two voxels being compared, to determine whether one of voxel hair
Changing.Specifically, automated location matching is carried out to two individual voxels, and the feature of two voxels of successful match is joined
Number is compared, when the characteristic parameter difference of comparison result instruction such as the two voxels is larger, it can be determined that have an individual
Element is changed.Note that the modules in Fig. 2 are shown in broken lines, indicate that it is optional.
Characteristic parameter obtained can also be compared with history value, to judge whether to be changed.Below
It will be described in detail how to realize the characteristic parameter obtained compared with history value referring to Fig. 3 to Fig. 5.
Fig. 3 shows the structural block diagram of the data processing equipment 200 according to another embodiment of the application.Such as Fig. 3 institute
Show, other than described data loading unit 101, variation detection unit 102 and variation display unit 103 referring to Fig.1, number
According to processing unit 200 further include: historical data loading unit 201 is configured as the particular portion that load is directed to same target body
The historical data of the voxel of position storage；And scanning planning unit 202, being configured as being arranged according to historical data currently will be into
The position of row scanning and sweep parameter, wherein the current data that data loading unit 101 loads passes through the position according to the scanning
It is scanned and obtains with privileged site of the sweep parameter to subject's body.
By including historical data loading unit 201 and scanning planning unit 202, data processing equipment 200 can be found
Identical voxel is scanned with history to execute Current Scan, so that the characteristic parameter for obtaining voxel changes with time.For example,
In the case of follow-up, this is very beneficial for the development that doctor accurately understands disease.
Historical data, which can store, is being set in data processing equipment 200 or is being attached to depositing for data processing equipment 200
It stores up in equipment.Store equipment include computer readable storage medium, such as but not limited to electricity, magnetic, light, electromagnetism,
Any combination appropriate of infrared ray or semiconductor system, device or aforementioned items.Computer-readable storage
The more specific example (non exhaustive list) of medium include the following: have the electrical connections of one or more conducting wires, portable meter
Calculation machine disk, hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read only memory
(EPROM or flash memory), optical fiber, portable optic disk read-only storage (CD-ROM), light storage device, magnetic memory apparatus or aforementioned
Every any combination appropriate.On the other hand, historical data can also be by wire communication or wireless communication via network ratio
Such as internet, local area network obtain.
After obtaining historical data, scanning planning unit 202 obtains corresponding with history scanning according to the historical data
Scan position and history scan used in sweep parameter, in other words, as far as possible reduction history scanning object and condition.
Fig. 4 is the scanning planning unit 202 shown in data processing equipment 200 according to an embodiment of the invention
Structural block diagram example.As shown in figure 4, scanning planning unit 202 may include: pre-scan module 2021, it is configured as pair
Subject's body carries out prescan, to obtain Scan orientation figure；And registration module 2022, it is configured as to Scan orientation figure and goes through
History data are registrated, so that the position currently to be scanned is identical as the scan position in historical data.
Wherein, the prescan that pre-scan module 2021 is carried out is very quickly, to represent human body knot merely to obtaining
The Scan orientation figure of structure.Registration module 2022 allows to be quickly found the position to be scanned using historical data, from
And it saves the time and improves and compare accuracy.Existing various registration techniques can be used to be registrated.For example, can be with
It is shown together with the image obtained by prescan in Scan orientation figure and the comparable scanning of scan position in historical data
Position, this process, which can be, automatically to be carried out.Moreover it is preferred that when data processing equipment is applied to magnetic resonance imaging,
At shown scan position, the journey of the variation of multiple metabolins can be presented using shade as being hereinafter described
Degree, and the degree that the variation of metabolin can also be presented changes with time trend.
Fig. 5 is to show the structural block diagram of the data processing equipment 300 according to another embodiment of the application.Such as Fig. 5
It is shown, in addition to described data loading unit 101, variation detection unit 102 and variation display unit 103 and ginseng referring to Fig.1
Except historical data loading unit 201 and scanning planning unit 202 according to Fig. 3 description, data processing equipment 300 further includes trend
Determination unit 301 is configured as the current data loaded based on data loading unit 101 and historical data to determine each voxel
Characteristic parameter change with time trend.Data processing equipment 300 allows to the state of each voxel of accurate observation at any time
Between change, so that the diagnosing and treating for doctor provides reference.
In addition, Fig. 6 is to show the structural block diagram of data processing equipment 400 according to still another embodiment of the invention.
As shown in fig. 6, in addition to described data loading unit 101, variation detection unit 102 and variation display unit referring to Fig.1
103, it is true referring to Fig. 3 historical data loading unit 201 described and scanning planning unit 202, and referring to the trend that Fig. 5 is described
Except order member 301, data processing equipment 400 can also include: user selection unit 401, be configured as inputting by user
To select one or more voxels；And details display unit 402, it is configured as showing selected one or more individuals
The information relevant to characteristic parameter of element.Note that the module being shown in broken lines in Fig. 6 is optional.
For example, can choose one of voxel when changed voxel has been determined specifically to check that its feature is joined
Number or the relevant information obtained based on characteristic parameter, such as compared with the value of empirical value or symmetrical voxel etc..These information examples
It can such as be shown in the form of table or curve graph.It should be understood that user also can choose, there is no the progress of the voxel of variation
It checks.In one embodiment, user can select desired voxel by mouse, keyboard, speech input device etc..
As an example, using the magnetic resonance imaging including above-mentioned data processing equipment 100,200,300 or 400
(MRI) equipment carries out Magnetic Resonance Spectrum (MRS) analysis, this is a kind of non-invasive analysis techniques that research human body metabolism changes
And extensive use has been obtained, wherein such as chemical shift imaging is post-processed by the measurement result to metabolin
And obtain spectrum and metabolite concentration value.
In this example, characteristic parameter includes the metabolite concentration of metabolin, spectral line peak height, the generation with other metabolins
Thank at least one of concentration or the relative value of spectral line peak height.By taking the scanning to brain as an example, metabolites of interest
It such as include NAA, choline (choline), inositol, total creatine.
It should be understood that range applied by the application is not limited to MRS, characteristic parameter is also not necessarily limited to above-mentioned example, this shows
Example is solely for the purpose of illustration, rather than restrictive.Each embodiment of the application can be appropriately modified each to adapt to
Kind other application.
In the data processing equipment according to the application, variation display unit 103 can be configured as with shade come
It indicates the degree of variation, and when there are the characteristic parameter of a variety of metabolins, indicates difference using different colors respectively
Metabolin.It can enable a user to more intuitively see which kind of degree and what type of variation has occurred in voxel in this way.
For example, variation detection unit 102 is by the amount of the metabolin measured by MRS, (for example metabolite concentration, spectral line peak value are high
Degree etc.) or multiple metabolins between ratio and empirical value normal range (NR), the respective value of symmetrical voxel or history value etc. into
Row relatively and determines whether the value of the metabolin is exceptional value, wherein privileged site, scanning sequence, right can be considered when determining
As factors such as race, ages.Change display unit 103 and the metabolin that its value is judged as exceptional value is rendered as chart or colour
Mapping.
As an example, variation display unit 103 can also be presented on the image (such as MRI image) that scanning obtains
It indicates the line of voxel location and shape, and each voxel is divided into multiple regions (such as being divided into nine grids), not
The degree of the variation of corresponding metabolin is presented in same region using different colors respectively.One can be shown simultaneously in this way
The degree of the variation of a variety of metabolins in a or multiple voxels.In addition, variation display unit 103 can be additionally configured to each
The degree of the variation of the characteristic parameter and metabolin of metabolin is presented in a region respectively.This can depend on actual needs and into
Row setting.
The legend for indicating the corresponding relationship between color and metabolin can also be presented in variation display unit 103, such as red
Colour system represent NAA, green system represent choline, violet represents inositol, yellow class represents total creatine.Wherein, the deeper representative of color
The degree of the variation of corresponding metabolin is higher.The legend can present at fixation position (such as upper right corner) in the picture or
At significantly less critical position.
As described above, using the data processing equipment 100,200,300 or 400 according to the application, can it is fast automatic and
Correctly find the degree of changed voxel and variation, with find the part that merits attention for further checking, from
And improve recognition efficiency.
During data processing equipment in above description embodiment, it is clear that also disclose some processing or side
Method.Hereinafter, the general introduction of these methods is provided in the case where not repeating the certain details being already discussed above, still,
Although it should be noted that being to disclose these methods during describing data processing equipment, however, these methods might not
Using these above-mentioned components, or might not be executed by these components.For example, hardware can be used partially or fully
And/or firmware realizes the embodiment of data processing equipment, and data processing method discussed below can also use tricks completely
The executable program of calculation machine is realized, although these methods can also use the hardware and/or firmware of data processing equipment.
Fig. 7 is to show the schematic flow chart of the data processing method of one embodiment according to the application.The data
Processing method include the following steps: to load be scanned by the privileged site to subject's body it is obtained one or more
The data (S11) of voxel；It is compared to detect changed voxel by using the characteristic parameter obtained from data,
In the variation to be characterized parameter and the difference of reference value be more than predetermined extent (S12)；And generation is indicated to the user that by display
The position of the voxel of variation and the degree (S13) of variation.
Wherein, reference value includes at least one of empirical value, the respective value of symmetrical voxel and history value.Correspondingly, exist
Comparison in step S12 includes being compared the characteristic parameter of acquisition with preset empirical value.Empirical value can be through
Test threshold value.Alternatively, empirical value is related at least one of privileged site, scanning sequence, object race, subject age, and
It is obtained from database trained in advance.
In one embodiment, changed voxel can also be detected in the following manner: is obtained for a voxel
Obtain position and its symmetrical voxel；And be compared the characteristic parameter of two voxels, to determine whether one of body
Element changes.It is substantially this principle of symmetrical structure that this mode, which is based on human body,.
Fig. 8 is to show the schematic flow chart of the data processing method according to other embodiment.In addition to being retouched referring to Fig. 7
Except the step S11-S13 stated, which further includes before step S11: load is directed to same target body
Privileged site storage voxel historical data (S21)；And the position to be currently scanned is set according to historical data
It sets and sweep parameter (S22), wherein the current data of load is by the position and sweep parameter according to scanning to subject's body
Privileged site is scanned and obtains.By including the two steps, the consistency of scan data acquisition may be implemented, make it possible to
It is enough that the state change of same voxel is accurately compared and analyzed.
In addition, the data processing method in Fig. 8 can also include the steps that being shown by the dashed box: current based on what is loaded
Data and historical data determine that the characteristic parameter of each voxel changes with time trend (S31).
Wherein, Fig. 9 is to show the schematic flow chart of the sub-step of the step S22 in Fig. 8.As shown in figure 9, step
S22 may include following sub-step: prescan be carried out to subject's body, to obtain Scan orientation figure (S221)；And to scanning
Positioning figure and historical data are registrated, so that the position currently to be scanned is identical as the scan position in historical data
(S222).It should be understood that existing various technologies can be used to execute step S222.
Figure 10 is to show the schematic flow chart of the data processing method of another embodiment according to the application.In addition to
Except step S11-S13, the data processing method further include: one or more voxels (S41) is selected by user's input；
And the information (S42) relevant to characteristic parameter of the selected one or more voxels of display.Wherein, this method can be with
Include the steps that being shown in broken lines S21-S22 or S21-S22 and S31.
As a non-limiting example, characteristic parameter may include the metabolite concentration of metabolin, spectral line peak height, with
At least one of metabolite concentration or the relative value of spectral line peak height of other metabolins.These parameters can pass through magnetic resonance
Spectrum Analysis obtains.It should be understood that this method is not limited to this, the example is solely for the purpose of illustration.
In above-mentioned each embodiment, the degree of variation can be limited by the mean value and variance of characteristic parameter.
In one embodiment, in step s 13, the degree of variation is indicated with shade, and there are a variety of
When the characteristic parameter of metabolin, different metabolins is indicated using different colors respectively.In this way, display can be made more
Intuitively.
The more specific details of each step about the data processing method and more may step, can with reference to
On description to all parts in data processing equipment according to an embodiment of the present invention, which is not described herein again.
Figure 11 shows the schematic block diagram of the medical image equipment of one embodiment according to the application.In order not to fuzzy
Other possible components of medical image equipment are omitted in spirit and scope in Figure 11.Medical image equipment 1100
Including data processing equipment 1110, to detect changed voxel automatically and by the degree of the position of the voxel of variation and variation
It is supplied to user.Data processing equipment 1110 can be the data processing equipment 100,200,300 according to any of the above-described embodiment
Or 400.Medical image equipment 1100 be, for example, x-ray imaging diagnostic device, UL diagnostic imaging apparatus, CT equipment, MRI machine,
Or PET device etc., without limiting.
Workable specific means or mode are ability when above-mentioned data processing equipment is arranged in medical image equipment
Known to field technique personnel, details are not described herein.
As an example, each composition of each step of above-mentioned data processing method and above-mentioned data processing equipment
Module and/or unit may be embodied as software, firmware, hardware or combinations thereof.It, can in the case where being realized by software or firmware
To pacify from storage medium or network to the computer (such as general purpose computer 1200 shown in Figure 12) with specialized hardware structure
Dress constitutes the program for implementing the software of the above method, which is able to carry out various function when being equipped with various programs
Energy is equal.
Figure 12 is to show the exemplary block diagram that the embodiment of the present invention/exemplary computer structure may be implemented.Its
In, operation processing unit (i.e. CPU) 1201 is according to the program stored in read-only memory (ROM) 1202 or from storage section 1208
The program for being loaded into random access memory (RAM) 1203 executes various processing.In RAM 1203, also storage is worked as needed
CPU 1201 executes data required when various processing etc..CPU 1201, ROM 1202 and RAM 1203 are via bus 1204
Link each other.Input/output interface 1205 also link to bus 1204.
Components described below link is to input/output interface 1205: importation 1206 (including keyboard, mouse etc.) exports
Part 1207 (including display, such as cathode-ray tube (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.), storage unit
Divide 1208 (including hard disks etc.), communications portion 1209 (including network interface card such as LAN card, modem etc.).Communication unit
1209 are divided to execute communication process via network such as internet.As needed, driver 1210 can also link connect to input/output
Mouth 1205.Detachable media 1211 such as disk, CD, magneto-optic disk, semiconductor memory etc. is installed in drive as needed
On dynamic device 1210, so that the computer program read out is mounted to as needed in storage section 1208.
It is such as removable from network such as internet or storage medium in the case where series of processes above-mentioned by software realization
Unload the program that the installation of medium 1211 constitutes software.
It will be understood by those of skill in the art that this storage medium is not limited to wherein be stored with journey shown in Figure 12
Sequence is separately distributed with equipment to provide a user the detachable media 1211 of program.The example packet of detachable media 1211
Containing disk (include floppy disk (registered trademark)), CD (including compact disc read-only memory (CD-ROM) and digital versatile disc (DVD)),
Magneto-optic disk (including mini-disk (MD) (registered trademark)) and semiconductor memory.Alternatively, storage medium can be ROM 1202, deposit
The hard disk etc. for including in part 1208 is stored up, wherein computer program stored, and is distributed to user together with the equipment comprising them.
The present invention also proposes a kind of program product of instruction code for being stored with machine-readable.Described instruction code is by machine
When device reads and executes, above-mentioned data processing method according to an embodiment of the present invention can be performed.
Correspondingly, it is also wrapped for carrying the storage medium of the program product of the above-mentioned instruction code for being stored with machine-readable
It includes in disclosure of the invention.The storage medium includes but is not limited to floppy disk, CD, magneto-optic disk, storage card, memory stick etc.
Deng.
In the description above to the specific embodiment of the invention, for the feature a kind of embodiment description and/or shown
It can be used in one or more other embodiments with same or similar mode, with the feature in other embodiment
It is combined, or the feature in substitution other embodiment.
It should be emphasized that term "comprises/comprising" refers to the presence of feature, element, step or component when using herein, but simultaneously
It is not excluded for the presence or additional of one or more other features, element, step or component.
In above-described embodiment and example, each step and/or unit are indicated using the appended drawing reference of number composition.
It should be appreciated by those skilled in the art that these appended drawing references are only to facilitate describing and drawing, and not indicate that its is suitable
Sequence or any other restriction.
In addition, method of the invention be not limited to specifications described in time sequencing execute, can also according to it
His time sequencing, concurrently or independently execute.Therefore, the execution sequence of method described in this specification is not to this hair
Bright technical scope is construed as limiting.
Although being had been disclosed above by the description to specific embodiments of the present invention to the present invention, it answers
The understanding, above-mentioned all embodiments and example are exemplary, and not restrictive.Those skilled in the art can be in institute
Design is to various modifications of the invention, improvement or equivalent in attached spirit and scope of the claims.These modification, improve or
Person's equivalent should also be as being to be considered as included in protection scope of the present invention.
By foregoing description, the embodiment provides technical solutions below.
It is attached a kind of 1. data processing equipments for being handled medical medical image, comprising:
Data loading unit, is configured as loading and is scanned one obtained by the privileged site to subject's body
Or more voxel data；
Change detection unit, is configured as being compared to detect by using the characteristic parameter obtained from the data
Changed voxel, wherein the variation is more than predetermined extent for the difference of the characteristic parameter and reference value；And
Change display unit, be configured as indicating to the user that by display the position for the voxel that the variation occurs and
The degree of variation.
The data processing equipment according to note 1 of note 2., wherein the reference value includes empirical value, symmetrical voxel
Respective value and at least one of history value.
The data processing equipment according to note 2 of note 3., wherein the variation detection unit includes that empirical value compares
Module is configured as characteristic parameter obtained being compared with the preset empirical value.
The data processing equipments according to note 2 of note 4., wherein the variation detection unit includes:
Location matches module is configured as obtaining position and its symmetrical voxel for a voxel；And
Symmetrical comparison module is configured as the characteristic parameter of two voxels being compared, to determine whether wherein one
The variation occurs for a voxel.
The data processing equipment according to any one in note 1 to 4 of note 5., further includes:
Historical data loading unit is configured as going through for the voxel of privileged site storage of the load for same target body
History data；And
Planning unit is scanned, is configured as that the position to be currently scanned and scanning are arranged according to the historical data
Parameter,
Wherein, the current data of data loading unit load passes through position according to the scanning and sweep parameter pair
The privileged site of subject's body is scanned and obtains.
The data processing equipment according to note 5 of note 6., further includes:
Trend determination unit is configured as the current data and the history of loading unit load based on the data
Data change with time trend to determine the characteristic parameter of each voxel.
The data processing equipments according to note 5 of note 7., wherein the scanning planning unit includes:
Pre-scan module is configured as carrying out prescan to the subject's body, to obtain Scan orientation figure；And
Registration module is configured as being registrated the Scan orientation figure and the historical data, so that currently wanting
The position of scanning is identical as the scan position in the historical data.
The data processing equipment according to any one in note 1 to 4 of note 8., wherein the characteristic parameter packet
Include the metabolite concentration, spectral line peak height and the metabolite concentration of other metabolins or the relative value of spectral line peak height of metabolin
At least one of.
The data processing equipment according to note 2 or 3 of note 9., wherein the empirical value and privileged site, scanning sequence
At least one of column, object race, subject age are related, and obtain from database trained in advance.
The data processing equipment according to any one in note 1 to 4 of note 10., wherein the degree of the variation
It is limited by the mean value and variance of the characteristic parameter.
The data processing equipment according to any one in note 1 to 4 of note 11., wherein the variation presents single
Member is configured as indicating the degree of the variation with shade, and when there are the characteristic parameter of a variety of metabolins, point
Different metabolic object is not indicated using different colors.
The data processing equipment according to any one in note 1 to 4 of note 12., further includes:
User selection unit is configured as selecting one or more voxels by user's input；And
Details display unit is configured as showing the letter relevant to characteristic parameter of selected one or more voxels
Breath.
A kind of 13. medical image equipments are attached, including the data processing equipment as described in any one of note 1-12.
The medical image equipment according to note 13 of note 14. is MR imaging apparatus.
It is attached a kind of 15. data processing methods for being handled medical image, comprising:
Load is scanned the data of one or more voxels obtained by the privileged site to subject's body；
It is compared to detect changed voxel by using the characteristic parameter obtained from the data, wherein institute
It is more than predetermined extent that variation, which is stated, as the difference of the characteristic parameter and reference value；And
The position that the voxel of the variation occurs and the degree of variation are indicated to the user that by display.
The data processing method according to note 15 of note 16., wherein the reference value includes empirical value, symmetric body
At least one of respective value and history value of element.
The data processing method according to note 16 of note 17., wherein the comparison includes joining feature obtained
Number is compared with the preset empirical value.
The data processing method according to note 16 of note 18., wherein detecting changed voxel includes:
Position and its symmetrical voxel are obtained for a voxel；And
The characteristic parameter of two voxels is compared, to determine whether that the variation occurs for one of voxel.
The data processing method according to any one in note 15 to 18 of note 19., further includes:
The historical data for the voxel that load is stored for the privileged site of same target body；And
The position to be currently scanned and sweep parameter are set according to the historical data,
Wherein, the current data of load is by position according to the scanning and sweep parameter to the particular portion of subject's body
Position is scanned and obtains.
The data processing method according to note 19 of note 20., further includes:
The characteristic parameter of each voxel is determined at any time based on the current data and the historical data that are loaded
Variation tendency.
The data processing method according to note 19 of note 21., wherein be arranged according to the historical data and currently wanted
The position and sweep parameter being scanned include:
Prescan is carried out to the subject's body, to obtain Scan orientation figure；And
The Scan orientation figure and the historical data are registrated, so that the position currently to be scanned is gone through with described
Scan position in history data is identical.
The data processing method according to any one in note 15 to 18 of note 22., wherein the characteristic parameter
It is metabolite concentration, spectral line peak height including metabolin, opposite with the metabolite concentration of other metabolins or spectral line peak height
At least one of value.
The data processing method according to note 16 of note 23., wherein the empirical value and privileged site, scanning sequence
At least one of column, object race, subject age are related, and obtain from database trained in advance.
The data processing method according to any one in note 15 to 18 of note 24., wherein the journey of the variation
Degree is limited by the mean value and variance of the characteristic parameter.
The data processing method according to any one in note 15 to 18 of note 25., wherein indicate to the user that hair
The position of voxel of the raw variation and the degree of variation include: the degree of the variation is indicated with shade, and
When there are the characteristic parameter of a variety of metabolins, different metabolins is indicated using different colors respectively.
The data processing method according to any one in note 15 to 18 of note 26., further includes:
One or more voxels are selected by user's input；And
Show the information relevant to characteristic parameter of selected one or more voxels.
A kind of 27. computer programs are attached, for realizing the data processing according to any one in note 15-26
Method.
A kind of 28. computer-readable recording mediums are attached, record has for realizing according to appointing in note 15-26 thereon
The computer program code of data processing method described in meaning one.
Claims (16)
1. a kind of data processing equipment for being handled medical image, comprising:
Data loading unit, is configured as loading and is scanned one obtained or more by the privileged site to subject's body
The data of multiple voxels；
Change detection unit, is configured as being compared to detection by using the characteristic parameter obtained from the data
The voxel of variation, wherein the variation is more than predetermined extent for the difference of the characteristic parameter and reference value；And
Change display unit, is configured as indicating to the user that the position for the voxel that the variation occurs and variation by display
Degree,
Wherein, the variation display unit is configured as indicating the degree of the variation with shade, and more existing
When the characteristic parameter of kind metabolin, different metabolic object is indicated using different colors respectively,
Wherein, the variation display unit is additionally configured to that the location and shape for indicating voxel are presented on the image that scanning obtains
Line, and each voxel is divided into multiple regions, is presented respectively using different colors in different regions pair
The degree of the variation for the metabolin answered.
2. data processing equipment according to claim 1, wherein the reference value includes pair of empirical value, symmetrical voxel
At least one of should be worth with history value.
3. data processing equipment according to claim 2, wherein the variation detection unit includes that empirical value compares mould
Block is configured as characteristic parameter obtained being compared with the preset empirical value.
4. data processing equipment according to claim 2, wherein the variation detection unit includes:
Location matches module is configured as obtaining position and its symmetrical voxel for a voxel；And
Symmetrical comparison module is configured as the characteristic parameter of two voxels in symmetric position being compared, is with determination
The variation occurs for no one of voxel.
5. according to claim 1 to data processing equipment described in any one in 4, further includes:
Historical data loading unit is configured as the history number for the voxel that load is stored for the privileged site of same target body
According to；And
Planning unit is scanned, is configured as that the position to be currently scanned and scanning ginseng are arranged according to the historical data
Number,
Wherein, the current data of the data loading unit load is by the position and sweep parameter according to the scanning to object
The privileged site of body is scanned and obtains.
6. data processing equipment according to claim 5, further includes:
Trend determination unit is configured as the current data and the historical data of loading unit load based on the data
To determine that the characteristic parameter of each voxel changes with time trend.
7. data processing equipment according to claim 5, wherein the scanning planning unit includes:
Pre-scan module is configured as carrying out prescan to the subject's body, to obtain Scan orientation figure；And
Registration module is configured as being registrated the Scan orientation figure and the historical data, so that currently to scan
Position it is identical as the scan position in the historical data.
8. according to claim 1 to data processing equipment described in any one in 4, wherein the characteristic parameter includes generation
It thanks in the metabolite concentration, the metabolite concentration of spectral line peak height and other metabolins or the relative value of spectral line peak height of object
At least one.
9. data processing equipment according to claim 2 or 3, wherein the empirical value and privileged site, scanning sequence,
At least one of object race, subject age are related, and obtain from database trained in advance.
10. according to claim 1 to data processing equipment described in any one in 4, wherein the degree of the variation passes through
The mean value and variance of the characteristic parameter limit.
11. data processing equipment according to claim 1, wherein the variation display unit is additionally configured to described
The degree of the variation of the characteristic parameter and the metabolin of the metabolin is presented in each of multiple regions region respectively.
12. data processing equipment according to claim 1, wherein the variation display unit is additionally configured to presentation table
Show the legend of the corresponding relationship between color and metabolin.
13. according to claim 1 to data processing equipment described in any one in 4, further includes:
User selection unit is configured as selecting one or more voxels by user's input；And
Details display unit is configured as showing the information relevant to characteristic parameter of selected one or more voxels.
14. a kind of medical image equipment, including the data processing equipment as described in any one of claim 1-13.
15. medical image equipment according to claim 14 is MR imaging apparatus.
16. a kind of data processing method for being handled medical image, comprising:
Load is scanned the data of one or more voxels obtained by the privileged site to subject's body；
It is compared to detect changed voxel by using the characteristic parameter obtained from the data, wherein the change
The difference for turning to the characteristic parameter and reference value is more than predetermined extent；And
The position that the voxel of the variation occurs and the degree of variation are indicated to the user that by display,
Wherein, the degree of the variation is indicated with shade, and when there are the characteristic parameter of a variety of metabolins, respectively
Different metabolic object is indicated using different colors, and
Wherein, the line for indicating the location and shape of voxel is presented on the image that scanning obtains, and each voxel is divided
At multiple regions, the degree of the variation of corresponding metabolin is presented using different colors respectively in different regions.
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| JP2016010029A JP6697274B2 (en) | 2015-04-03 | 2016-01-21 | Medical information processing apparatus, medical image diagnostic apparatus, medical information processing method, and medical information processing program |
| US15/088,817 US10127666B2 (en) | 2015-04-03 | 2016-04-01 | Medical information processing apparatus, medical imaging diagnostic device, and method |
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| CN101019152A (en) * | 2004-06-18 | 2007-08-15 | 美国西门子医疗解决公司 | System and method for loading timepoints for analysis of disease progression or response to therapy |
| CN101277574A (en) * | 2007-01-05 | 2008-10-01 | 西门子公司 | Imaging method and device |
| CN104182925A (en) * | 2013-05-22 | 2014-12-03 | 株式会社东芝 | Image processing device, image processing method and medical image device |
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| CN101019152A (en) * | 2004-06-18 | 2007-08-15 | 美国西门子医疗解决公司 | System and method for loading timepoints for analysis of disease progression or response to therapy |
| CN101277574A (en) * | 2007-01-05 | 2008-10-01 | 西门子公司 | Imaging method and device |
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