CN112100416A - Medical fluorescence imaging image data classification cloud storage system and storage method thereof - Google Patents
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Abstract
The embodiment of the invention discloses a medical fluorescence imaging image data classification cloud storage system and a storage method thereof, belonging to the technical field of medical fluorescence imaging. The medical fluorescence imaging image data classification cloud storage system comprises an image uploading module, a cloud storage library module and a fluorescence region leading-in module; the image uploading module is used for marking time information on the shot fluorescent image and then uploading the time information to the cloud storage library module; and the cloud storage library module is used for inquiring all fluorescence areas of the fluorescence image and automatically generating fluorescence images of all the fluorescence areas for classified storage. According to the invention, after the extracted fluorescence images except the fluorescence areas are subjected to gray scale processing, the fluorescence images of all the fluorescence areas are generated according to the time sequence, so that when the fluorescence image of a certain fluorescence area is searched at the cloud end, the image information of the fluorescence area can be directly input, and the rapid searching and allocating work of the fluorescence image of the area is realized.
Description
Technical Field
The embodiment of the invention relates to the technical field of medical fluorescence imaging, in particular to a medical fluorescence imaging image data classification cloud storage system and a storage method thereof.
Background
Fluorescence is a common luminescence phenomenon in nature. Fluorescence is generated by the interaction of photons with molecules, and this interaction process can be described by a jacobian molecular energy diagram: most molecules are normally at the lowest vibrational level So in the ground state, and when excited by energy (optical energy, electrical energy, chemical energy, etc.), electrons around the atomic nucleus transit from the ground state So to an excited state (first or second excited state) with higher energy, and the electrons in the excited state are in a high energy state, unstable, and release energy back to the ground state through two routes, one is a radiative transition (including fluorescence and phosphorescence processes) that releases energy in the form of photons, and one is a non-radiative transition that releases energy in the form of thermal energy, etc.
In the existing fluorescent image storage process, a fluorescent image with a large number of fluorescent areas is often directly shot, and the fluorescent image is generated according to a time sequence.
Based on the above, the invention designs a medical fluorescence imaging image data classification cloud storage system and a storage method thereof, so as to solve the above problems.
Disclosure of Invention
The embodiment of the invention provides a medical fluorescence imaging image data classification cloud storage system and a storage method thereof, and aims to solve the technical problems in the background art.
The embodiment of the invention provides a medical fluorescence imaging image data classification cloud storage system. In one possible scheme, the system comprises an image uploading module, a cloud storage library module and a fluorescence region leading-in module;
the image uploading module is used for marking time information on the shot fluorescent image and then uploading the time information to the cloud storage library module;
the cloud storage library module is used for inquiring all fluorescence areas of the fluorescence image and automatically generating fluorescence images of all the fluorescence areas for classified storage;
and the fluorescence area importing module is used for inputting the specified fluorescence area image and inquiring the corresponding fluorescence image in the cloud storage module.
The embodiment of the invention provides a medical fluorescence imaging image data classification cloud storage system. In one possible approach, the image uploading module comprises a time marking module and an image encoding module;
the time marking module is used for marking the uploading time of the uploaded images;
and the image coding module is used for coding the uploaded images.
The embodiment of the invention provides a medical fluorescence imaging image data classification cloud storage system. In one possible solution, the cloud storage module includes a fluorescence region extraction module, a nearby region processing module, an image classification storage module, a fluorescence region storage module, and a fluorescence region retrieval module;
the fluorescence area extraction module is used for respectively extracting each fluorescence area in the fluorescence image;
the near area processing module is used for performing fuzzification processing on the near area of the fluorescence area in the fluorescence image and generating a fluorescence image according to an uploading time sequence;
the image classification storage module is used for classifying and storing the fluorescence images of the specified fluorescence areas subjected to the fuzzification processing;
the fluorescence area storage module is used for storing all fluorescence areas extracted by the fluorescence area extraction module;
and the fluorescence area retrieval module is used for searching the storage fluorescence area in the fluorescence area storage module according to the imported fluorescence area and inquiring the fluorescence image of the fluorescence area according to the storage fluorescence area.
The embodiment of the invention provides a medical fluorescence imaging image data classification cloud storage system. In one possible solution, the nearby area processing module includes a fluorescence boundary identification module, a fluorescence area fixing module, a gray level covering module and an image synthesis module;
the fluorescence boundary identification module is used for identifying the fluorescence boundary of the specified fluorescence area in the fluorescence image;
the fluorescence area fixing module is used for fixing that the fluorescence area information in the fluorescence boundary can not be changed;
the gray level covering module is used for performing gray level covering addition on the fluorescence image outside the unchangeable fluorescence area;
and the image synthesis module is used for carrying out fluorescence image synthesis on all fluorescence images with the fluorescence areas after gray level coverage according to the uploading time.
The embodiment of the invention provides a medical fluorescence imaging image data classification cloud storage system. In one possible scheme, the fluorescence region extraction module comprises a feature comparison module, a fluorescence feature data storage module and an image scanning module;
the fluorescence characteristic data storage module is used for storing fluorescence characteristic image big data information;
the characteristic comparison module is used for comparing and searching the uploaded image in the fluorescence characteristic image big data for a fluorescence area;
and the image scanning module is used for scanning the information of the uploaded image.
The embodiment of the invention also provides a medical fluorescence imaging image data classification cloud storage method. In one possible embodiment, the method comprises the following steps:
s1, encoding and uploading all fluorescence image information according to a time sequence;
s2, cloud searching and storing each fluorescence area in the fluorescence image, carrying out gray processing on areas except the searched fluorescence areas, and finally making the fluorescence image with gray processing into a fluorescence image for storage;
and S3, inputting the fluorescence area image to be searched, and searching the fluorescence image corresponding to the fluorescence area stored in the cloud.
Based on the scheme, the extracted fluorescence images except the fluorescence area are subjected to gray level processing, and then the fluorescence images of all the fluorescence areas are generated according to the time sequence, so that when the fluorescence image of a certain fluorescence area is searched at the cloud end, the image information of the fluorescence area can be directly input, and the rapid searching and allocating work of the fluorescence image of the area can be realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a system architecture diagram of the present invention;
FIG. 2 is a system diagram of a neighborhood processing module of the present invention;
FIG. 3 is a system diagram of a phosphor zone extraction module of the present invention;
FIG. 4 is a block flow diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "axial," "radial," "circumferential," and the like are used in the indicated orientations and positional relationships based on the drawings for convenience in describing and simplifying the description, but do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the invention.
In the present invention, unless otherwise specifically stated or limited, the terms "mounted," "connected," "fixed," and the like are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally formed; the connection can be mechanical connection, electrical connection or communication connection; either directly or indirectly through intervening media, either internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 to 3 illustrate a medical fluorescence imaging image data classification cloud storage system according to a first embodiment of the present invention; the system comprises an image uploading module, a cloud storage library module and a fluorescence area leading-in module;
the image uploading module is used for marking time information on the shot fluorescent image and then uploading the time information to the cloud storage library module;
the cloud storage library module is used for inquiring all fluorescence areas of the fluorescence image and automatically generating fluorescence images of all the fluorescence areas for classified storage;
and the fluorescence area importing module is used for inputting the specified fluorescence area image and inquiring the corresponding fluorescence image in the cloud storage module.
Through the above, it can be easily found that, in the process of synthesizing and storing the fluorescence medical imaging image data by the medical fluorescence imaging image data classification cloud storage system of the invention, the shot fluorescent images are uploaded by the image uploading module according to the uploading sequence, so that the shooting time can be also taken, the fluorescent images are uploaded after being coded, after entering the cloud storage module, the fluorescence area in the image is identified, and the fluorescence image outside the fluorescence area is processed by gray scale increasing and the like, thereby enhancing the visualization of the fluorescence area and generating a fluorescence image according to the uploading time sequence after the processing is finished, when the appointed fluorescent area image is input through the fluorescent area importing module, the corresponding fluorescent image in the cloud storage module is searched, and therefore the fluorescent image of a certain fluorescent area is rapidly allocated.
Optionally, the image uploading module comprises a time marking module and an image encoding module;
the time marking module is used for marking the uploading time of the uploaded images;
and the image coding module is used for coding the uploaded images. It should be noted that, in this embodiment, when the images are uploaded, the images are encoded so as to facilitate the arrangement of the images, and the images are marked with the uploading time so as to facilitate the composition according to the time sequence when the fluorescent images are synthesized.
In addition, the cloud repository module comprises a fluorescence region extraction module, a nearby region processing module, an image classification storage module, a fluorescence region storage module and a fluorescence region retrieval module;
the fluorescence area extraction module is used for respectively extracting each fluorescence area in the fluorescence image;
the near area processing module is used for performing fuzzification processing on the near area of the fluorescence area in the fluorescence image and generating a fluorescence image according to an uploading time sequence;
the image classification storage module is used for classifying and storing the fluorescence images of the specified fluorescence areas subjected to the fuzzification processing;
the fluorescence area storage module is used for storing all fluorescence areas extracted by the fluorescence area extraction module;
the fluorescence area retrieval module is used for searching the storage fluorescence area in the fluorescence area storage module according to the imported fluorescence area and inquiring the fluorescence image of the fluorescence area according to the storage fluorescence area; in the process of storing the fluorescence image and the fluorescence image at the cloud end, all the fluorescence areas in the fluorescence image are searched, all the fluorescence areas are subjected to respective peripheral area fuzzification processing, and images formed by all the fluorescence areas are synthesized, so that the fluorescence images of all the fluorescence areas can be generated.
More specifically, the nearby area processing module comprises a fluorescence boundary identification module, a fluorescence area fixing module, a gray level covering module and an image synthesis module;
the fluorescence boundary identification module is used for identifying the fluorescence boundary of the specified fluorescence area in the fluorescence image;
the fluorescence area fixing module is used for fixing that the fluorescence area information in the fluorescence boundary can not be changed;
the gray level covering module is used for performing gray level covering addition on the fluorescence image outside the unchangeable fluorescence area;
the image synthesis module is used for carrying out fluorescence image synthesis on all fluorescence images with the fluorescence areas after gray level coverage according to uploading time; in the process of processing the fluorescence images except the fluorescence region, the fluorescence region is fixed, and then the fluorescence image is subjected to the gray scale processing of covering, so that when the fluorescence image only displays the specified fluorescence region, and the fluorescence image is generated according to the time sequence, the fluorescence image of the independent fluorescence region can be generated.
Furthermore, the fluorescence region extraction module comprises a feature comparison module, a fluorescence feature data storage module and an image scanning module;
the fluorescence characteristic data storage module is used for storing fluorescence characteristic image big data information;
the characteristic comparison module is used for comparing and searching the uploaded image in the fluorescence characteristic image big data for a fluorescence area;
the image scanning module is used for scanning information of the uploaded image; when the characteristics of the fluorescence area are extracted, the fluorescence area in the fluorescence image can be quickly and accurately searched according to the fluorescence characteristics stored in the comparison storage library.
Fig. 4 is a medical fluorescence imaging image data classification cloud storage method in the second embodiment of the present invention, and the second embodiment is an improvement scheme based on the first embodiment, including the following steps:
s1, encoding and uploading all fluorescence image information according to a time sequence;
s2, cloud searching and storing each fluorescence area in the fluorescence image, carrying out gray processing on areas except the searched fluorescence areas, and finally making the fluorescence image with gray processing into a fluorescence image for storage;
and S3, inputting the fluorescence area image to be searched, and searching the fluorescence image corresponding to the fluorescence area stored in the cloud.
When the medical fluorescence imaging image data classification cloud storage method is used for storing fluorescence images and fluorescence images, all fluorescence areas in the fluorescence images are searched and extracted, and after the fluorescence areas are used as fixed targets and other positions of the fluorescence images are subjected to gray level processing, the fluorescence images are generated according to uploading time sequence, so that when a single fluorescence area characteristic image is searched, the specified fluorescence images in cloud storage can be quickly searched by inputting the fluorescence area images.
In the present invention, unless otherwise explicitly specified or limited, the first feature "on" or "under" the second feature may be directly contacting the first feature and the second feature or indirectly contacting the first feature and the second feature through an intermediate.
Also, a first feature "on," "above," and "over" a second feature may mean that the first feature is directly above or obliquely above the second feature, or that only the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lower level than the second feature.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example" or "some examples," or the like, means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (6)
1. A medical fluorescence imaging image data classification cloud storage system is characterized by comprising an image uploading module, a cloud storage library module and a fluorescence region leading-in module;
the image uploading module is used for marking time information on the shot fluorescent image and then uploading the time information to the cloud storage library module;
the cloud storage library module is used for inquiring all fluorescence areas of the fluorescence image and automatically generating fluorescence images of all the fluorescence areas for classified storage;
and the fluorescence area importing module is used for inputting the specified fluorescence area image and inquiring the corresponding fluorescence image in the cloud storage module.
2. The medical fluorescence imaging image data classification cloud storage system according to claim 1, wherein the image uploading module comprises a time marking module and an image encoding module;
the time marking module is used for marking the uploading time of the uploaded images;
and the image coding module is used for coding the uploaded images.
3. The medical fluorescence imaging image data classification cloud storage system according to claim 1, wherein the cloud storage library module comprises a fluorescence region extraction module, a nearby region processing module, an image classification storage module, a fluorescence region storage module and a fluorescence region retrieval module;
the fluorescence area extraction module is used for respectively extracting each fluorescence area in the fluorescence image;
the near area processing module is used for performing fuzzification processing on the near area of the fluorescence area in the fluorescence image and generating a fluorescence image according to an uploading time sequence;
the image classification storage module is used for classifying and storing the fluorescence images of the specified fluorescence areas subjected to the fuzzification processing;
the fluorescence area storage module is used for storing all fluorescence areas extracted by the fluorescence area extraction module;
and the fluorescence area retrieval module is used for searching the storage fluorescence area in the fluorescence area storage module according to the imported fluorescence area and inquiring the fluorescence image of the fluorescence area according to the storage fluorescence area.
4. The medical fluorescence imaging image data classification cloud storage system according to claim 3, wherein the nearby area processing module comprises a fluorescence boundary identification module, a fluorescence area fixing module, a gray scale covering module and an image synthesis module;
the fluorescence boundary identification module is used for identifying the fluorescence boundary of the specified fluorescence area in the fluorescence image;
the fluorescence area fixing module is used for fixing that the fluorescence area information in the fluorescence boundary can not be changed;
the gray level covering module is used for performing gray level covering addition on the fluorescence image outside the unchangeable fluorescence area;
and the image synthesis module is used for carrying out fluorescence image synthesis on all fluorescence images with the fluorescence areas after gray level coverage according to the uploading time.
5. The medical fluorescence imaging image data classification cloud storage system according to claim 3, wherein the fluorescence region extraction module comprises a feature comparison module, a fluorescence feature data storage module and an image scanning module;
the fluorescence characteristic data storage module is used for storing fluorescence characteristic image big data information;
the characteristic comparison module is used for comparing and searching the uploaded image in the fluorescence characteristic image big data for a fluorescence area;
and the image scanning module is used for scanning the information of the uploaded image.
6. A medical fluorescence imaging image data classification cloud storage method is characterized by comprising the following steps:
s1, encoding and uploading all fluorescence image information according to a time sequence;
s2, cloud searching and storing each fluorescence area in the fluorescence image, carrying out gray processing on areas except the searched fluorescence areas, and finally making the fluorescence image with gray processing into a fluorescence image for storage;
and S3, inputting the fluorescence area image to be searched, and searching the fluorescence image corresponding to the fluorescence area stored in the cloud.
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