CN110013277B - Auxiliary diagnosis method and device based on shear wave elastic image - Google Patents
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Abstract
The application provides an auxiliary diagnosis method and device based on a shear wave elastic image, wherein the shear wave elastic image of a diagnosis part is obtained, an elastic parameter of the diagnosis part is calculated according to the shear wave elastic image to obtain a target elastic parameter, and a diagnosis prompt of the diagnosis part is generated according to a preset corresponding relation between the state of the diagnosis part and the elastic parameter, wherein the diagnosis prompt comprises a state corresponding to the target elastic parameter of the diagnosis part. Because the elastic parameters in the preset corresponding relation are acquired by the ultrasonic equipment for acquiring the shear wave elastic images in actual measurement, the same ultrasonic equipment is used for acquiring the diagnostic standard and acquiring the shear wave elastic images, and compared with the prior art, one type of ultrasonic equipment does not need to refer to the diagnostic standard suitable for other types of ultrasonic equipment, namely the diagnostic standard is not limited by the ultrasonic equipment any more, so the universality of the auxiliary diagnostic technology based on the shear wave elastic images is improved.
Description
Technical Field
The present application relates to the field of electronic information, and in particular, to a method and an apparatus for assisting diagnosis based on a shear wave elastic image.
Background
Shear wave elastography is a technique of detecting elasticity information of a biological object using shear waves and visualizing the detected elasticity information. The image obtained by shear wave elastography is called a shear wave elasticity image.
It is clinically proven that shear wave elasticity images have high specificity in pathological conditions of some tissues. Therefore, the shear wave elastic image can be used as an auxiliary means for clinical diagnosis.
Generally, ultrasound apparatuses having different ultrasound transmitting and receiving principles may have different young's moduli (parameters for diagnosis) obtained from shear wave elasticity images even for the same tissue region, and in this case, the diagnostic standard applicable to one type of ultrasound apparatus is not necessarily applicable to other types of ultrasound apparatuses. That is, for a shear wave elastic image acquired by an ultrasound apparatus of type a, the obtained diagnosis result is not necessarily accurate using a diagnosis standard suitable for an ultrasound apparatus of type B.
Therefore, the current standard of using shear wave elastic image diagnosis compiled by some manufacturers or organizations according to self-owned ultrasonic equipment cannot be applied to all ultrasonic equipment, so that the existing auxiliary diagnostic technology based on shear wave elastic image is restricted by the ultrasonic equipment and has no universality.
Disclosure of Invention
The application provides an auxiliary diagnosis method and device based on a shear wave elastic image, and aims to solve the problem of how to improve the universality of an auxiliary diagnosis technology based on the shear wave elastic image.
In order to achieve the above object, the present application provides the following technical solutions:
an auxiliary diagnosis method based on shear wave elastic images comprises the following steps:
acquiring a shear wave elastic image of a diagnosis part, wherein the shear wave elastic image is acquired by ultrasonic equipment;
calculating the elastic parameters of the diagnosis part according to the shear wave elastic image to obtain target elastic parameters;
and generating a diagnosis prompt of the diagnosis part according to a preset corresponding relation between the state of the diagnosis part and the elastic parameters acquired by the ultrasonic equipment in actual measurement, wherein the diagnosis prompt comprises the state corresponding to the target elastic parameters of the diagnosis part.
Optionally, the method for determining the preset corresponding relationship includes:
acquiring the real health state of a sample of the diagnosis part and elastic parameters which are actually measured by the ultrasonic equipment and correspond to the sample in each real health state;
for any one real health state, calculating the proportion of each corresponding elastic parameter in the real health state, wherein the proportion of any one elastic parameter is as follows: the ratio of the number of samples corresponding to the elastic parameter to the number of all samples in the real health state;
for any real health state, taking the first N elastic parameters of the elastic parameter sequence corresponding to the real health state, the ratio sum of which is greater than a preset threshold value, as the elastic parameters corresponding to the diagnostic part in the real health state; the sequence of the corresponding elastic parameters in the real health state is a sequence obtained by arranging the corresponding elastic parameters in the real health state according to the sequence from the large to the small of the ratio.
Optionally, after acquiring the elasticity parameters corresponding to the diagnosis part in each real health state, the method further includes:
acquiring the attribution health state of a new sample of the diagnosis part and the elasticity parameter actually measured by the ultrasonic equipment, wherein the attribution health state of the new sample is the real health state of the new sample;
taking the new sample and the original sample in the attribution health state of the new sample as the samples in the attribution health state of the new sample;
calculating the occupation ratio of each corresponding elastic parameter in the attribution health state;
and taking the first N elastic parameters of which the ratio sum is greater than the preset threshold value in the elastic parameter sequence in the attribution health state as the corresponding corrected elastic parameters of the diagnosis part in the attribution health state.
Optionally, the obtaining a sample of the diagnostic site comprises:
samples of the diagnostic site actually measured by the same type of ultrasound equipment at different locations are acquired.
Optionally, the acquiring the home health status of the new sample of the diagnosis part and the elasticity parameter actually measured by the ultrasound device includes:
acquiring the attribution health state of a new sample actually measured by the same type of ultrasonic equipment arranged at different application places of the diagnosis part and the corresponding elasticity parameter of the new sample in the attribution health state.
Optionally, the elasticity parameter includes:
young's modulus.
An auxiliary diagnostic device based on shear wave elastography, comprising:
the system comprises an image acquisition module, a diagnosis module and a control module, wherein the image acquisition module is used for acquiring a shear wave elastic image of a diagnosis part, and the shear wave elastic image is acquired by ultrasonic equipment;
the parameter acquisition module is used for calculating the elastic parameters of the diagnosis part according to the shear wave elastic image to obtain target elastic parameters;
and the diagnosis module is used for generating a diagnosis prompt of the diagnosis part according to the preset corresponding relation between the state of the diagnosis part and the elastic parameters acquired by the ultrasonic equipment in actual measurement, wherein the diagnosis prompt comprises the state corresponding to the target elastic parameters of the diagnosis part.
Optionally, the method further includes:
the corresponding relation acquisition module is used for acquiring the real health state of the sample of the diagnosis part and the corresponding elastic parameters of the sample in each real health state, which are obtained by actual measurement of the ultrasonic equipment; for any one real health state, calculating the proportion of each corresponding elastic parameter in the real health state, wherein the proportion of any one elastic parameter is as follows: the ratio of the number of samples corresponding to the elastic parameter to the number of all samples in the real health state; for any real health state, taking the first N elastic parameters of the elastic parameter sequence corresponding to the real health state, the ratio sum of which is greater than a preset threshold value, as the elastic parameters corresponding to the diagnostic part in the real health state; the sequence of the corresponding elastic parameters in the real health state is a sequence obtained by arranging the corresponding elastic parameters in the real health state according to the sequence from the large to the small of the ratio.
Optionally, the method further includes:
the corresponding relation correction module is used for acquiring the attribution health state of a new sample of the diagnosis part and the elastic parameters actually measured by the ultrasonic equipment after acquiring the elastic parameters corresponding to the diagnosis part in each real health state, wherein the attribution health state of the new sample is the real health state of the new sample; taking the new sample and the original sample in the attribution health state of the new sample as the samples in the attribution health state of the new sample; calculating the occupation ratio of each corresponding elastic parameter in the attribution health state; and taking the first N elastic parameters of which the ratio sum is greater than the preset threshold value in the elastic parameter sequence in the attribution health state as the corresponding corrected elastic parameters of the diagnosis part in the attribution health state.
Optionally, the acquiring a sample of the diagnosis site by the correspondence acquiring module includes:
the corresponding relation obtaining module is specifically used for obtaining samples of the diagnosis part actually measured by the same type of ultrasonic equipment at different places;
optionally, the correspondence correction module is configured to obtain an attribution health status of a new sample of the diagnostic region and an elasticity parameter actually measured by the ultrasound apparatus, and includes:
the correspondence correction module is specifically configured to acquire an attribution health state of a new sample actually measured by the same type of ultrasound equipment disposed in different application places at the diagnosis part, and an elastic parameter corresponding to the new sample in the attribution health state.
Optionally, the elasticity parameter includes:
young's modulus.
The method and the device for auxiliary diagnosis based on the shear wave elastic image acquire the shear wave elastic image of a diagnosis part, calculate the elastic parameters of the diagnosis part according to the shear wave elastic image to obtain target elastic parameters, and generate diagnosis prompts of the diagnosis part according to the preset corresponding relation between the state of the diagnosis part and the elastic parameters, wherein the diagnosis prompts comprise the state corresponding to the target elastic parameters of the diagnosis part. Since the elastic parameters in the preset correspondence are acquired in actual measurement by the ultrasound apparatus that acquires shear wave elastic images, the method and apparatus described herein, therefore, uses the same ultrasound equipment to obtain diagnostic criteria as is used to acquire shear wave elastic images, that is, for any ultrasonic equipment, firstly, the elasticity parameter of the actually measured diagnosis part of the ultrasonic equipment is used for determining the diagnosis standard, then the diagnosis standard is used for determining the diagnosis prompt of the shear wave elasticity image acquired by the ultrasonic equipment, compared with the prior art, one type of ultrasonic equipment does not need to refer to the diagnostic standard applicable to other types of ultrasonic equipment, that is, the diagnosis standard is not restricted by the ultrasonic equipment any more, so that the auxiliary diagnosis based on the shear wave elastic image is applicable to all the ultrasonic equipment, thereby improving the universality of the auxiliary diagnosis technology based on the shear wave elastic image.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flowchart of a method for aided diagnosis based on shear wave elastic images according to an embodiment of the present application;
FIG. 2 is a flow chart of another auxiliary diagnostic method based on shear wave elastic images according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an auxiliary diagnostic apparatus based on a shear wave elastic image according to an embodiment of the present application.
Detailed Description
The embodiment of the application discloses a method and a device for auxiliary diagnosis based on shear wave elastic images, which can be applied to ultrasonic equipment, wherein the ultrasonic equipment is used for transmitting shear waves and visualizing elastic information detected by the shear waves, and the visualized elastic information is the shear wave elastic images.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. 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 application.
Fig. 1 is a method for auxiliary diagnosis based on a shear wave elastic image, which is disclosed in an embodiment of the present application, and includes the following steps:
s101: a shear wave elasticity image of the diagnostic site is acquired.
Specifically, a probe of the ultrasound apparatus may be used to emit shear waves to the diagnostic region, and imaging may be performed according to the shear waves reflected to the ultrasound apparatus, so as to obtain a shear wave elasticity image of the diagnostic region.
In this embodiment, the diagnostic sites include, but are not limited to: the normal state and the diseased state are different in elasticity, for example, the liver.
S102: and calculating the elastic parameters of the diagnosis part according to the shear wave elastic image of the diagnosis part to obtain target elastic parameters.
In the present embodiment, the elasticity parameters include, but are not limited to, young's modulus, and the young's modulus will be described below as an example.
For a specific method for calculating the young's modulus of the diagnostic region based on the shear wave elasticity image of the diagnostic region, reference may be made to the prior art, and details thereof are not repeated herein.
S103: and acquiring a preset corresponding relation between the state of the diagnosis part and the elastic parameter.
The elasticity parameters are different because the elasticity of the diagnostic region is different for different states. Taking the Young's modulus as an example, the correspondence relationship is the correspondence relationship between the state of the diagnostic site and the Young's modulus. Table 1 shows the correspondence between the respective states of the liver and Young's modulus as diagnostic sites.
It is emphasized that, in the present embodiment, the young's modulus in the corresponding relationship is determined according to the actual measurement data of the ultrasonic apparatus. Specifically, the ultrasonic device for measuring the young's modulus is an ultrasonic device for acquiring a shear wave image of a diagnostic site.
Further, since the ultrasound apparatus is capable of acquiring a shear wave elasticity image of the diagnostic region and measuring the young's modulus of the diagnostic region from the shear wave elasticity image, it is possible to acquire the young's modulus of the diagnostic region that has been measured by the ultrasound apparatus (i.e., the young's modulus of the historical diagnostic region), acquire the true health state of the historical diagnostic region, and establish the correspondence between the young's modulus of the historical diagnostic region and the true health state as the correspondence between the state of the diagnostic region and the elasticity parameter.
A more specific procedure for obtaining the correspondence relationship is described in the following embodiments.
It should be noted that the obtaining of the corresponding relationship may be performed before the flow shown in fig. 1 starts, and in S103, only the corresponding relationship needs to be obtained from the storage module of the ultrasound device, so that the obtained corresponding relationship may be regarded as a preset corresponding relationship.
S104: and determining the state corresponding to the target elastic parameter obtained by calculation according to the preset corresponding relation.
For example, the correspondence relationship includes the correspondence relationship between the state of a diagnostic region such as liver or breast and young's modulus. The correspondence between different states of the liver and the young's modulus is shown in table 1, for example (the young's modulus interval in table 1 is only an example, and does not represent the true young's modulus):
TABLE 1
| Liver status | Interval of Young's modulus |
| Is normal | 【1-6】 |
| Hepatic fibrosis grade 1 | 【7-10】 |
| Hepatic fibrosis grade 2 | 【11-15】 |
| Hepatic fibrosis grade 3 | 【16-20】 |
| Hepatic fibrosis grade 4 | 【17-25】 |
| Hepatic fibrosis grade 5 | 【26-30】 |
Assuming that the value of young' S modulus of the liver calculated in S102 is 5, the result is shown in table 1 as falling within the interval [ 1-6 ], and thus the diagnosis suggests that the state of the liver is normal.
S105: and generating and outputting a diagnosis prompt.
In this embodiment, the diagnosis prompt includes a state corresponding to the target elasticity parameter of the diagnosis site, for example, the state of the liver "normal".
Optionally, in order to increase the reliability of the diagnosis state of the diagnosis part, the diagnosis prompt may further include a correspondence between each state of the diagnosis part and each elastic parameter.
As can be seen from the flow shown in fig. 1, in this embodiment, after the shear wave elastic image of the diagnostic region is obtained, the elastic parameter of the diagnostic region is calculated, and the state of the diagnostic region is determined according to the correspondence and the elastic parameter. Therefore, the purpose of diagnosing diseases which may cause changes in tissue elasticity using ultrasound images is achieved, so that unnecessary needle biopsies can be reduced, i.e., lesions (e.g., liver fibrosis) that are suspicious and difficult to identify with previous ultrasound images can be detected, thereby performing therapeutic measures earlier.
More importantly, the corresponding relation for assisting diagnosis is determined according to actual measurement data of the ultrasonic equipment, so that the corresponding relation is suitable for shear wave elastic images acquired by the ultrasonic equipment, namely for any ultrasonic equipment, the corresponding relation is suitable for the ultrasonic equipment, so that the ultrasonic equipment with different ultrasonic transceiving principles can be prevented from sharing one set of corresponding relation, further, the restriction of the ultrasonic equipment on assisting diagnosis is avoided, and compared with the conventional auxiliary diagnosis technology based on shear wave elastic images, the method disclosed by the embodiment has universality.
Fig. 2 is a flow of acquiring the corresponding relationship in fig. 1, including the following steps:
s201: and acquiring the real health state of the sample of the diagnosis part and the corresponding elastic parameters of the sample in the real health state, which are actually measured by the ultrasonic equipment.
The sample of the diagnostic site is a diagnostic site at which the ultrasound apparatus has acquired a shear wave elasticity image and a young's modulus has been determined from the shear wave elasticity image. That is, the already diagnosed diagnosis site is used as a sample.
The actual health state is different from the state determined based on the young's modulus and the corresponding relationship (hereinafter, referred to as a predicted state), and may be a state determined by biopsy or the like to be closer to the actual health state of the diagnostic region.
Specifically, the actual health status of each sample can be obtained by receiving the biopsy result of each sample manually input.
For example, if 100 livers have been tested for young's modulus by an ultrasound device and the 100 livers have been diagnosed (the diagnosis may include biopsy, etc.), then the 100 livers are used as the liver samples.
Assuming that the real health state of a liver in a sample is normal, and the young modulus of the liver measured by the ultrasonic equipment is 5, the real health state "normal" and the young modulus "5" are a set of corresponding relations among the corresponding relations.
It should be noted that the result can be output according to various parameters (including the predicted state, the real health state, the young modulus, etc.) of the sample through the unique identifier of the patient, such as the name or the social security card number.
S202: and calculating the proportion of each corresponding elastic parameter in any real health state.
The ratio is a ratio of the number of samples corresponding to one elasticity parameter in the real health state to the number of all samples in the real health state.
For example, the following steps are carried out: for 3 cases of livers, young's moduli calculated by the ultrasonic device according to shear wave elasticity images of the livers are respectively 1, 5 and 5, and biopsy results of the three cases of livers are all normal, that is, true health states of the three cases of livers are all normal, and in the normal state, the proportion of young's modulus 1 is 1 (the number of samples corresponding to young's modulus 1)/3 (the total number of normal liver samples) ≈ 33%, and the proportion of young's modulus 5 is 2 (the number of samples corresponding to young's modulus 5)/3 (the total number of normal liver samples) ≈ 67%.
It can be seen that in case of sufficient samples, the ratio can also be regarded as the probability of the occurrence of the elasticity parameter.
S203: for any real health state, the first N elastic parameters of the elastic parameter sequence corresponding to the real health state, the ratio sum of which is greater than the preset threshold value, are taken as the elastic parameters corresponding to the diagnostic part in the real health state.
Wherein, the elastic parameter sequence corresponding to any real health state is as follows: all the elasticity parameters under the real health state are arranged in the sequence from large to small in percentage.
It should be noted that, if the ratio of the first elastic parameter in the sequence is greater than the preset threshold, the first elastic parameter is the elastic parameter corresponding to the diagnosed part in the real health state, otherwise, the ratio of the latter elastic parameter is added to the ratio of the first elastic parameter, if the sum of the two is greater than the preset threshold, the former two elastic parameters are the elastic parameters corresponding to the real health state of the diagnosed part, … … is analogized in turn.
For example, the following steps are carried out: table 2 shows the young's modulus and the ratio of 20 normal livers measured by an ultrasonic device.
TABLE 2
As can be seen from table 2, the young 'S moduli of 20 normal livers are distributed in the interval [0, 6], and the proportion of each young' S modulus in the total samples (i.e., 20 normal livers) is shown in the probability in table 2, for example, the proportion of young 'S modulus 0 in 20 samples is 2%, that is, 20 × 2% — 4 normal livers have young' S modulus of 0 obtained by using steps S201 to S204.
As described above, it is determined from table 2 that the maximum percentage is 60%, is less than the threshold 80%, the second maximum percentage is 10%, the sum of 60% and 10% is 70%, and is not more than the threshold 80%, the third maximum percentage is 10%, the sum of 60%, 10% and 10% is 80%, and is not more than the threshold 80%, the fourth maximum percentage is 8%, the sum of 60%, 10% and 8% is 88%, and is more than the threshold 80%, the young modulus 5 with the percentage of 60%, the young moduli 3 and 4 with the percentage of 10%, and the young modulus 6 with the percentage of 8% are all young moduli corresponding to the normal state of the liver, and the young modulus interval corresponding to the normal state of the liver is [3, 6 ].
Thus, the correspondence relationship between the state of the diagnostic site for assisting diagnosis and the young's modulus is obtained. It should be noted that, the normal state of the liver is taken as an example for description above, and the young's modulus corresponding to other real health states is obtained by using the same procedure as the normal state, and for other diagnosis sites, is obtained by using the same procedure as the liver, and the description thereof is omitted here.
It should be noted that, in order to improve the accuracy of the correspondence, the correspondence may be determined using data of actually measured samples of the same type of ultrasound apparatus placed at different locations.
Specifically, in step S201, the real health state of the sample of the diagnosis part and the corresponding elastic parameters in the real health state of the sample actually measured by the same type of ultrasound equipment disposed at different application sites are acquired, and in the subsequent steps, the elastic parameters actually measured by the ultrasound equipment at different sites are used as execution targets.
In practice, the ultrasound devices manufactured by the same manufacturer generally have the same ultrasound transceiving principle (i.e., the same type of ultrasound devices), so that the diagnostic parts actually measured by the ultrasound devices placed in different places by the manufacturer are used as samples, which may be called multi-center collected samples, and the data of the samples (including the actually measured young modulus and the actual health state) are used as the basis for determining the corresponding relationship, so that wider data can be obtained, and the corresponding relationship has higher accuracy. The data of actually measured samples collected by a plurality of ultrasound devices manufactured by the same manufacturer and placed at different places (such as a plurality of hospitals) can be used for determining the corresponding relation, which is called a multi-center result.
Further, in order to improve the accuracy of the corresponding relationship, the measured data of the new sample may be used to correct the corresponding relationship obtained in S201-S203, and the specific process is as follows:
s204: and acquiring the attributive health state of a new sample of the diagnosis part and the elasticity parameter actually measured by the ultrasonic equipment.
The home health status of the new sample is the real health status of the new sample, and is referred to as the "home health status" herein for distinguishing from the real health statuses in S201 to S203.
The new sample is a shear wave elastic image of a diagnostic part newly acquired in practical application of the ultrasonic equipment, and the young modulus is determined according to the shear wave elastic image.
S205: and taking the new sample and the original sample in the attribution health state of the new sample as the samples in the attribution health state of the new sample.
Wherein, the original sample in the attribution health state of the new sample is the sample used in S201-S203 in the attribution health state of the new sample.
For example, taking a normal liver as an example, in the process of determining the correspondence relationship in S201 to S203, 20 normal livers are used, the original samples are 20, and if 5 normal livers are present in the new sample, any one of the 5 normal livers is a new sample, and the new sample is added to the sample in the normal state of the liver.
S206: and calculating the proportion of each corresponding elastic parameter in the attribution health state of the new sample.
Wherein the elasticity parameter is actually measured by the ultrasonic equipment.
The calculation method of the ratio of the elastic parameters is as described above, and the ratio of any one elastic parameter is: the ratio of the number of samples corresponding to the elasticity parameter in the true health state (i.e. the home health state of the new sample) to the total number of all samples in the true health state.
S207: and taking the first N elastic parameters of which the ratio sum is greater than a preset threshold value in the elastic parameter sequence of the new sample in the attributive health state as the corresponding corrected elastic parameters of the diagnosis part in the attributive health state of the new sample.
The elastic parameter sequence of the new sample in the attributive health state is the elastic parameter of the sample in the real health state, and the obtained sequences are arranged in the sequence from large to small in proportion.
It should be noted that, the above-mentioned S204-S207 are correction processes for any new sample, and in practice, after the correction processes for all new samples are completed according to S204-S207, the correction for the correspondence relationship is completed.
Assuming that table 1 shows the initial correspondence relationship and table 2 shows a part of the corrected correspondence relationship (correspondence relationship of the liver in the normal state), table 2 narrows the young modulus range corresponding to the normal state of the liver as compared with the young modulus range corresponding to the normal state of the liver shown in table 1. Namely, the correction of the initial correspondence is realized.
Note that the narrowing range is only one example in the above example, and the range of the young's modulus section may be unchanged after the correction.
Optionally, the new sample may also be a diagnostic part sample actually measured by the same type of ultrasound equipment disposed at different locations, that is, the new sample used is corrected to be a sample collected by multiple centers, so as to further improve the accuracy of the correspondence.
As can be seen from the process shown in fig. 2, the initial correspondence may be further corrected by using actual measurement data of the same type of ultrasound apparatus, and therefore, after the initial object relationship is obtained, the auxiliary diagnosis using the shear wave elastic image may be performed according to the initial object relationship, and new data (including young's modulus measured by the ultrasound apparatus and the corresponding true health state) generated in the auxiliary diagnosis process may be collected, and the initial correspondence may be corrected by using the newly collected new data.
That is, on the basis of using the shear wave elastic image to assist diagnosis, the diagnosis basis can be corrected according to the diagnosed cases, so that the diagnosis basis is continuously corrected along with the accumulation of the samples, and the effect that the accuracy of the auxiliary diagnosis is improved along with the increase of the diagnosed cases is achieved.
In fig. 2, the elastic parameters of the sample or the new sample may be automatically acquired from the ultrasound device, or the manually input elastic parameters of the diagnostic region may be received, and for the correction of the initial correspondence relationship by the new sample data, the correction method using the manually input elastic parameters of the diagnostic region may be referred to as manual correction, and the correction method using the automatically acquired elastic parameters obtained in the auxiliary diagnostic process may be referred to as automatic correction.
Fig. 3 is a diagnostic aid device based on shear wave elastography, which includes: the image acquisition module, the parameter acquisition module and the diagnosis module optionally further include: a corresponding relation obtaining module and a corresponding relation correcting module.
The image acquisition module is used for acquiring a shear wave elastic image of a diagnosis part and acquired by ultrasonic equipment. The parameter acquisition module is used for calculating the elastic parameters of the diagnosis part according to the shear wave elastic image to obtain target elastic parameters. The diagnosis module is used for generating a diagnosis prompt of the diagnosis part according to the preset corresponding relation between the state of the diagnosis part and the elastic parameters acquired by the ultrasonic equipment in actual measurement, wherein the diagnosis prompt comprises the state corresponding to the target elastic parameters of the diagnosis part.
Further, the corresponding relation obtaining module is used for obtaining the real health state of the sample of the diagnosis part and the corresponding elastic parameters of the sample in each real health state, which are obtained by actual measurement of the ultrasonic equipment. And for any real health state, calculating the ratio of the elastic parameters corresponding to the real health state, and for any real health state, taking the first N elastic parameters of which the sum of the ratios is greater than a preset threshold value in the elastic parameter sequence corresponding to the real health state as the elastic parameters corresponding to the diagnostic part in the real health state.
The corresponding relation correction module is used for acquiring the attribution health state of a new sample of the diagnosis part and the elastic parameters actually measured by the ultrasonic equipment after acquiring the elastic parameters corresponding to the diagnosis part in each real health state, taking the new sample and the original sample in the attribution health state of the new sample as the sample in the attribution health state of the new sample, calculating the occupation ratio of each elastic parameter corresponding to the attribution health state, and taking the first N elastic parameters of which the sum of the occupation ratios is larger than a preset threshold value in the elastic parameter sequence in the attribution health state as the corrected elastic parameters corresponding to the diagnosis part in the attribution health state.
Specifically, for a specific implementation manner of the functions of the above modules, reference may be made to a method embodiment, which is not described herein again. The sample or the new sample may be a multi-center collected sample.
The apparatus shown in fig. 3 makes the auxiliary diagnosis based on the shear wave elastic image applicable to all ultrasound devices, thereby improving the universality of the auxiliary diagnosis technology based on the shear wave elastic image.
The functions described in the method of the embodiment of the present application, if implemented in the form of software functional units and sold or used as independent products, may be stored in a storage medium readable by a computing device. Based on such understanding, part of the contribution to the prior art of the embodiments of the present application or part of the technical solution may be embodied in the form of a software product stored in a storage medium and including several instructions for causing a computing device (which may be a personal computer, a server, a mobile computing device or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (4)
1. An auxiliary diagnostic device based on shear wave elastography, comprising:
the system comprises an image acquisition module, a diagnosis module and a control module, wherein the image acquisition module is used for acquiring a shear wave elastic image of a diagnosis part, and the shear wave elastic image is acquired by ultrasonic equipment;
the parameter acquisition module is used for calculating the elastic parameters of the diagnosis part according to the shear wave elastic image to obtain target elastic parameters;
a diagnosis module, configured to generate a diagnosis prompt of the diagnosis portion according to a preset correspondence between a state of the diagnosis portion and an elastic parameter obtained by the ultrasound device in actual measurement, where the diagnosis prompt includes a state corresponding to the target elastic parameter of the diagnosis portion;
the corresponding relation acquisition module is used for acquiring the real health state of the sample of the diagnosis part and the corresponding elastic parameters of the sample in each real health state, which are obtained by actual measurement of the ultrasonic equipment; for any one real health state, calculating the proportion of each corresponding elastic parameter in the real health state, wherein the proportion of any one elastic parameter is as follows: the ratio of the number of samples corresponding to the elastic parameter to the number of all samples in the real health state; for any real health state, taking the first N elastic parameters of the elastic parameter sequence corresponding to the real health state, the ratio sum of which is greater than a preset threshold value, as the elastic parameters corresponding to the diagnostic part in the real health state; the sequence of the corresponding elastic parameters in the real health state is a sequence obtained by arranging the corresponding elastic parameters in the real health state according to the sequence from the large to the small of the ratio.
2. The apparatus of claim 1, further comprising:
the corresponding relation correction module is used for acquiring the attribution health state of a new sample of the diagnosis part and the elastic parameters actually measured by the ultrasonic equipment after acquiring the elastic parameters corresponding to the diagnosis part in each real health state, wherein the attribution health state of the new sample is the real health state of the new sample; taking the new sample and the original sample in the attribution health state of the new sample as the samples in the attribution health state of the new sample; calculating the occupation ratio of each corresponding elastic parameter in the attribution health state; and taking the first N elastic parameters of which the ratio sum is greater than the preset threshold value in the elastic parameter sequence in the attribution health state as the corresponding corrected elastic parameters of the diagnosis part in the attribution health state.
3. The apparatus of claim 2, wherein the correspondence obtaining module is configured to obtain the sample of the diagnostic site and comprises:
the corresponding relation obtaining module is specifically used for obtaining samples of the diagnosis part actually measured by the same type of ultrasonic equipment arranged at different application places;
the corresponding relation correction module is used for acquiring the attribution health state of the new sample of the diagnosis part and the elasticity parameter actually measured by the ultrasonic equipment, and comprises the following steps:
the correspondence correction module is specifically configured to acquire an attribution health state of a new sample actually measured by the same type of ultrasound equipment disposed in different application places at the diagnosis part, and an elastic parameter corresponding to the new sample in the attribution health state.
4. The apparatus according to any of claims 1-3, wherein the elasticity parameters comprise:
young's modulus.
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