CN111768867B - Treatment scheme determination method and device - Google Patents
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- 238000011282 treatment Methods 0.000 title claims abstract description 134
- 238000000034 method Methods 0.000 title claims abstract description 56
- 238000011269 treatment regimen Methods 0.000 claims description 23
- 238000011285 therapeutic regimen Methods 0.000 claims description 10
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- 230000017074 necrotic cell death Effects 0.000 abstract description 18
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- 210000004394 hip joint Anatomy 0.000 description 2
- 210000000528 lesser trochanter Anatomy 0.000 description 2
- 238000011541 total hip replacement Methods 0.000 description 2
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- 210000000988 bone and bone Anatomy 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 210000000845 cartilage Anatomy 0.000 description 1
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- 230000002028 premature Effects 0.000 description 1
- 208000037922 refractory disease Diseases 0.000 description 1
- 210000005065 subchondral bone plate Anatomy 0.000 description 1
- 238000003325 tomography Methods 0.000 description 1
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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Abstract
The invention discloses a method and a device for determining a treatment scheme. Wherein the method comprises the following steps: acquiring first three-dimensional data of an object to be processed; acquiring second three-dimensional data before the plurality of processed objects are processed and feedback information after the plurality of processed objects are processed; matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object to obtain the similarity between the first three-dimensional data of the object to be processed and the second three-dimensional data of each processed object in the plurality of processed objects; a target treatment plan is selected from the treatment plans of the plurality of treated subjects based on the similarity and the feedback information, and the target treatment plan is determined as the treatment plan of the subject to be treated. The invention solves the technical problem that the treatment scheme of femoral head necrosis is difficult to determine in the related technology.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for determining a treatment scheme.
Background
The femoral head necrosis is a disease that bone tissue necrosis and self-repair are caused after the interruption of femoral head blood supply, thereby leading to the structural change of the femoral head, the collapse of the femoral head and the destruction of cartilage, and finally the pain and movement disorder of the hip joint.
Femoral head necrosis is still one of the orthopedic refractory diseases at present, and is also one of the important reasons for hip joint dysfunction of young and middle-aged patients. If the intervention treatment is not performed in time in the early stage, more than 85% of patients can collapse the subchondral bone plate within 2 years, further develop into femoral head collapse and hip osteoarthritis, and finally have to perform total hip replacement. However, since the main population suffering from femoral head necrosis is young and middle-aged patients, the early diagnosis and treatment of femoral head necrosis is important because the early diagnosis and treatment is not suitable for the premature total hip replacement.
Although there are many methods for treating femoral head necrosis clinically, the etiology, pathogenesis and cases of the femoral head necrosis are not completely defined at the present stage, so that the best curative effect of the treatment method is still uncertain.
Aiming at the problem that the treatment scheme of femoral head necrosis is difficult to determine in the related art, no effective solution is proposed at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining a treatment scheme, which at least solve the technical problem that the treatment scheme for determining femoral head necrosis is difficult in the related technology.
According to an aspect of an embodiment of the present invention, there is provided a method of determining a therapeutic regimen, including: acquiring first three-dimensional data of an object to be processed; acquiring second three-dimensional data before a plurality of processed objects are processed and feedback information after the plurality of processed objects are processed; matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object to obtain the similarity of the first three-dimensional data of the object to be processed and the second three-dimensional data of each processed object in the plurality of processed objects; a target treatment plan is selected from the treatment plans of the plurality of treated subjects based on the similarity and the feedback information, and the target treatment plan is determined as the treatment plan of the subject to be treated.
Optionally, the acquiring the first three-dimensional data of the object to be processed includes: acquiring medical image data of the object to be processed; performing reverse processing on the medical image data to obtain initial three-dimensional image data; and extracting three-dimensional data of a to-be-processed area of the to-be-processed object in the initial three-dimensional image data to obtain the first three-dimensional data.
Optionally, the performing inverse processing on the medical image data to obtain initial three-dimensional image data includes: importing the two-dimensional data corresponding to the medical image data into image data processing software; acquiring the output of the image data processing software; and converting the output of the image data processing software into the initial three-dimensional image data.
Optionally, before the matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object, the method for determining a treatment plan further includes: processing the first three-dimensional data to obtain processed first three-dimensional data; fitting a sphere of a region to be processed of the object to be processed by using a least square method, and obtaining characteristic data I of the region to be processed.
Optionally, the matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object to obtain a similarity between the first three-dimensional data of the object to be processed and the second three-dimensional data of each of the plurality of processed objects includes: matching the first characteristic data of the to-be-processed area of the to-be-processed object with the second characteristic data of the processed area of the processed object, which is obtained based on the second three-dimensional data of the processed object, to obtain the similarity between the first three-dimensional data of the to-be-processed object and the second three-dimensional data of each processed object in the plurality of processed objects, wherein the first characteristic data and the second characteristic data comprise: sphere center information and radius information.
Optionally, the matching the feature data of the to-be-processed area of the to-be-processed object with the feature data of the processed area of the processed object obtained based on the second three-dimensional data of the processed object, to obtain the similarity between the first three-dimensional data of the to-be-processed object and the second three-dimensional data of each of the plurality of processed objects, includes: based on the center information in the first characteristic data and the center information in the second characteristic data, overlapping the center corresponding to the first characteristic data with the center corresponding to the second characteristic data; comparing the radius information in the first characteristic data with the radius information corresponding to the second characteristic data one by one to obtain a scaling factor when the radius information in the first characteristic data is identical with the radius information corresponding to the second characteristic data; scaling the three-dimensional model corresponding to the first three-dimensional data of the object to be processed based on the scaling coefficient to obtain a three-dimensional model of a region to be processed of the object to be processed; and comparing the three-dimensional model of the to-be-processed area of the to-be-processed object with the three-dimensional model of the to-be-processed area of the processed object to obtain the similarity.
Optionally, after the selecting a target treatment plan from the treatment plans of the plurality of treated subjects based on the similarity and the feedback information, and determining the target treatment plan as the treatment plan of the subject to be treated, the method of determining a treatment plan further includes: acquiring feedback information of at least one processed object processed with the target treatment regimen; and predicting feedback information of the object to be processed after the object to be processed is processed by the target treatment scheme based on the feedback information of the at least one processed object.
According to another aspect of the embodiments of the present invention, there is provided a device for determining a therapeutic regimen, including: a first acquisition unit configured to acquire first three-dimensional data of an object to be processed; a second acquisition unit configured to acquire second three-dimensional data before a plurality of processed objects are processed and feedback information after the plurality of processed objects are processed; a matching unit, configured to match the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object, so as to obtain a similarity between the first three-dimensional data of the object to be processed and the second three-dimensional data of each of the plurality of processed objects; and a determining unit configured to select a target treatment plan from the treatment plans of the plurality of processed objects based on the similarity and the feedback information, and determine the target treatment plan as the treatment plan of the object to be processed.
Optionally, the first acquisition unit includes: the first acquisition module is used for acquiring medical image data of the object to be processed; the reverse processing module is used for carrying out reverse processing on the medical image data to obtain initial three-dimensional image data; the extraction module is used for extracting the three-dimensional data of the to-be-processed area of the to-be-processed object in the initial three-dimensional image data to obtain the first three-dimensional data.
Optionally, the reverse processing module includes: the importing sub-module is used for importing the two-dimensional data corresponding to the medical image data into image data processing software; the acquisition sub-module is used for acquiring the output of the image data processing software; and the conversion sub-module is used for converting the output of the image data processing software into the initial three-dimensional image data.
Optionally, the apparatus for determining a treatment plan further includes: the processing unit is used for processing the first three-dimensional data before the first three-dimensional data of the object to be processed and the second three-dimensional data of the processed object are matched, so as to obtain processed first three-dimensional data; and the fitting unit is used for fitting out the sphere of the region to be processed of the object to be processed by using a least square method and obtaining the characteristic data I of the region to be processed.
Optionally, the matching unit includes: the matching module is configured to match the first feature data of the to-be-processed area of the to-be-processed object with the second feature data of the processed area of the processed object, which is obtained based on the second three-dimensional data of the processed object, to obtain a similarity between the first three-dimensional data of the to-be-processed object and the second three-dimensional data of each of the plurality of processed objects, where the first feature data and the second feature data each include: sphere center information and radius information.
Optionally, the matching module includes: the first processing sub-module is used for overlapping the sphere center corresponding to the first characteristic data with the sphere center corresponding to the second characteristic data based on the sphere center information in the first characteristic data and the sphere center information in the second characteristic data; the first comparison sub-module is used for comparing the radius information in the first characteristic data with the radius information corresponding to the second characteristic data one by one to obtain a scaling factor when the radius information in the first characteristic data is identical with the radius information corresponding to the second characteristic data; the second processing submodule is used for scaling the three-dimensional model corresponding to the first three-dimensional data of the object to be processed based on the scaling coefficient to process the three-dimensional model to obtain a three-dimensional model of a region to be processed of the object to be processed; and the second comparison sub-module is used for comparing the three-dimensional model of the to-be-processed area of the to-be-processed object with the three-dimensional model of the to-be-processed area of the processed object to obtain the similarity.
Optionally, the apparatus for determining a treatment plan further includes: a third acquisition unit configured to acquire feedback information of at least one processed object processed with the target treatment plan after the target treatment plan is selected from the treatment plans of the plurality of processed objects based on the similarity and the feedback information, and the target treatment plan is determined as the treatment plan of the object to be processed; and the prediction unit is used for predicting the feedback information of the object to be processed after the object to be processed is processed by the target treatment scheme based on the feedback information of the at least one processed object.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium including a stored program, wherein the program performs the method of determining a therapeutic regimen of any one of the above.
According to another aspect of an embodiment of the present invention, there is provided a processor for running a program, wherein the program, when run, performs the method of determining a therapeutic regimen according to any one of the above.
According to another aspect of the embodiments of the present invention, there is provided a system for determining a treatment regimen, including: a memory, a processor coupled to the memory, the memory and the processor in communication through a bus system; the memory is used for storing a program, wherein the program, when executed by the processor, controls the device in which the memory is located to execute the method for determining the treatment scheme according to any one of the above; the processor is configured to run a program, wherein the program, when run, performs the method of determining a treatment regimen of any of the above.
In the embodiment of the invention, the first three-dimensional data of the object to be processed is acquired; acquiring second three-dimensional data before the plurality of processed objects are processed and feedback information after the plurality of processed objects are processed; matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object to obtain the similarity between the first three-dimensional data of the object to be processed and the second three-dimensional data of each processed object in the plurality of processed objects; the method for determining the treatment plan of the femoral head necrosis comprises the steps of selecting a target treatment plan from treatment plans of a plurality of processed objects based on similarity and feedback information, determining the target treatment plan as the treatment plan of the processed objects, matching femoral head three-dimensional data of a patient to be treated with femoral head three-dimensional data of the patient to be treated, searching to obtain treatment plans corresponding to the first patients with highest similarity, and determining the treatment plan of the patient to be treated.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a flow chart of a method of determining a treatment regimen according to an embodiment of the invention;
FIG. 2 is a flow chart of an alternative method of determining a treatment regimen according to an embodiment of the invention;
FIG. 3 is a block diagram of a method of determining a treatment regimen according to an embodiment of the invention;
fig. 4 is a schematic view of a determination device of a treatment regimen according to an embodiment of the invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
According to an embodiment of the present invention, there is provided a method embodiment of a method of determining a treatment regimen, it being noted that the steps shown in the flowchart of the figures may be performed in a computer system, such as a set of computer executable instructions, and, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order other than that shown or described herein.
Fig. 1 is a flowchart of a method of determining a treatment regimen according to an embodiment of the present invention, as shown in fig. 1, the method of determining a treatment regimen comprising the steps of:
step S102, obtaining first three-dimensional data of an object to be processed.
Optionally, the object to be treated refers to a patient suffering from femoral head necrosis.
Optionally, acquiring the first three-dimensional data of the object to be processed includes: acquiring medical image data of an object to be processed; reversely processing the medical image data to obtain initial three-dimensional image data; and extracting the three-dimensional data of the to-be-processed area of the to-be-processed object in the initial three-dimensional image data to obtain first three-dimensional data.
In the above embodiment, CT tomographic medical image data of the femoral head portion to be evaluated may be acquired, specifically, CT tomographic medical image of the femoral head portion to be evaluated may be acquired and two-dimensional medical image DICOM data may be obtained.
Step S104, obtaining second three-dimensional data before the processed objects and feedback information after the processed objects are processed.
Step S106, matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object to obtain the similarity between the first three-dimensional data of the object to be processed and the second three-dimensional data of each processed object in the plurality of processed objects.
Step S106, selecting a target treatment plan from the treatment plans of the plurality of processed objects based on the similarity and the feedback information, and determining the target treatment plan as the treatment plan of the object to be processed.
As can be seen from the above, in the embodiment of the present invention, the first three-dimensional data of the object to be processed may be obtained; acquiring second three-dimensional data before the plurality of processed objects are processed and feedback information after the plurality of processed objects are processed; matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object to obtain the similarity between the first three-dimensional data of the object to be processed and the second three-dimensional data of each processed object in the plurality of processed objects; the target treatment scheme is selected from the treatment schemes of the processed objects based on the similarity and the feedback information, and the target treatment scheme is determined to be the treatment scheme of the processed object, so that the matching between the femoral head three-dimensional data of the patient to be treated and the femoral head three-dimensional data of the treated patient can be realized, the treatment schemes corresponding to the first patients with the highest similarity are obtained through searching, the purpose of determining the treatment scheme of the patient to be treated is determined, and the technical effect of improving the efficiency of determining the femoral head necrosis treatment scheme is achieved.
Therefore, the method for determining the treatment scheme provided by the embodiment of the invention solves the technical problem that the treatment scheme for determining the femoral head necrosis is difficult in the related technology.
In an alternative embodiment, the inverse processing of the medical image data to obtain initial three-dimensional image data includes: importing two-dimensional data corresponding to the medical image data into image data processing software; acquiring the output of image data processing software; and converting the output of the image data processing software into initial three-dimensional image data.
In this embodiment, two-dimensional medical image DICOM data may be imported into medical image processing software, where a series of operations are performed to reverse the DICOM data into three-dimensional data, thereby obtaining initial three-dimensional image data.
In an alternative embodiment, before matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object, the method for determining the treatment plan may further include: processing the first three-dimensional data to obtain processed first three-dimensional data; fitting a sphere of a region to be processed of the object to be processed by using a least square method, and obtaining characteristic data I of the region to be processed.
In the embodiment, the first three-dimensional data is processed, so that the surface data of the femoral head three-dimensional model of the patient to be treated can be extracted, error points can be removed, the spherical surface where the surface of the femoral head is located is fitted by using a least square method, and the spherical center and the radius of the femoral head are obtained.
In an alternative embodiment, matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object to obtain a similarity between the first three-dimensional data of the object to be processed and the second three-dimensional data of each of the plurality of processed objects, including: matching the first characteristic data of the to-be-processed area of the to-be-processed object with the second characteristic data of the processed area of the processed object obtained based on the second three-dimensional data of the processed object to obtain the similarity between the first three-dimensional data of the to-be-processed object and the second three-dimensional data of each of the plurality of processed objects, wherein the first characteristic data and the second characteristic data comprise: sphere center information and radius information.
Specifically, matching the feature data of the to-be-processed region of the to-be-processed object with the feature data of the processed region of the processed object obtained based on the second three-dimensional data of the processed object to obtain the similarity between the first three-dimensional data of the to-be-processed object and the second three-dimensional data of each of the plurality of processed objects, including: based on the center information in the first characteristic data and the center information in the second characteristic data, overlapping the center corresponding to the first characteristic data with the center corresponding to the second characteristic data; comparing the radius information in the first characteristic data with the radius information corresponding to the second characteristic data one by one to obtain a scaling factor when the radius information in the first characteristic data is identical with the radius information corresponding to the second characteristic data; scaling the three-dimensional model corresponding to the first three-dimensional data of the object to be processed based on the scaling coefficient to obtain a three-dimensional model of a region to be processed of the object to be processed; and comparing the three-dimensional model of the to-be-processed area of the to-be-processed object with the three-dimensional model of the to-be-processed area of the processed object to obtain the similarity.
In the embodiment, the sphere centers of the femoral heads of the patients to be treated are overlapped with the sphere centers of the femoral heads of the patients before the treatment of each treated patient one by one, then the diameters of the femoral heads of the patients to be treated are compared with the diameters of the femoral heads of the patients before the treatment of each treated patient one by one, the scaling factors which lead the diameters of the two to be the same are obtained, and the three-dimensional models of the patients to be treated are scaled according to the factors to lead the diameters of the two to be the same, so that the end parts of the femoral heads of the two three-dimensional models are consistent in size and overlapped, and then the connecting line of the sphere centers of the femoral heads of the patients to be treated and the femoral trochanter is collinear with the connecting line of the sphere centers of the femoral heads of the patients before the treatment of each treated patient and the femoral trochanter one by one; and the connecting line of the femoral head sphere center and the femoral lesser trochanter of the patient to be treated is coplanar with the connecting line of the femoral head sphere center and the femoral lesser trochanter of each patient before treatment. So far, the three-dimensional model posture of the two models is considered to be consistent; extracting surface feature points of the two femoral head three-dimensional models to characterize the models, for example, selecting points at the collapse position of the femoral head as feature points; the feature points can be calculated by using similarity calculation methods such as mean square error, camberra distance and the like, and a quantitative matching result is given.
It should be noted that, in the embodiment of the present invention, if there is a mismatch between the left and right sides of two patients, the three-dimensional model corresponding to the three-dimensional data may be mirrored.
In an alternative embodiment, after selecting a target treatment plan from the treatment plans of the plurality of treated subjects based on the similarity and the feedback information, and determining the target treatment plan as the treatment plan of the subject to be treated, the method of determining the treatment plan further includes: acquiring feedback information of at least one processed object processed with the target treatment regimen; and predicting feedback information of the object to be processed after the object to be processed is processed by the target treatment scheme based on the feedback information of the at least one processed object.
In the embodiment, the treatment schemes corresponding to the first few patients with highest similarity can be searched and obtained, the clinical manifestations of the patients after treatment are counted, and the possible clinical effects of the patients to be treated after treatment by adopting the determined treatment scheme are calculated, so that the clinical manifestations of the patients with femoral head necrosis after treatment are predicted based on a big data mining mode, and decision support is provided for the selection of the treatment schemes.
FIG. 2 is a flow chart of an alternative method of determining a treatment regimen, as shown in FIG. 2, in which image data of a patient to be treated may be acquired, in accordance with an embodiment of the present invention; matching the three-dimensional data information of the patient to be treated with the three-dimensional data information of the patient to be treated before treatment and the clinical manifestation of the patient after treatment to obtain a similar patient 1 and a similar patient 2 … …, carrying out statistical voting to obtain possible scores of the clinical manifestation of the patient to be treated, and determining a treatment scheme, thereby realizing acquisition of CT tomographic medical image data of the patient to be treated; reversely converting the acquired CT data into three-dimensional data and extracting three-dimensional data information; acquiring three-dimensional data information of all patients before treatment and clinical manifestations after treatment; matching the three-dimensional data information of the patients to be treated with the three-dimensional data information of each patient to be treated before treatment, and recording the matching degree and the treatment scheme of each patient to be treated; global comparison is carried out on the matching results of all the patients subjected to treatment, and a plurality of patients which are most similar and corresponding treatment schemes thereof are obtained; based on the most similar patients, statistics and voting are carried out on the scores of the clinical manifestations of the patients after treatment, so that predictions are made on the clinical manifestations of the patients to be treated after treatment.
Fig. 3 is a block diagram of a method of determining a treatment regimen according to an embodiment of the invention, as shown in fig. 3, comprising: the acquisition module is used for acquiring CT tomography medical image data of a patient to be treated; the reverse processing module is used for reversing the acquired CT data into three-dimensional data and extracting three-dimensional data information; the statistics module is used for acquiring three-dimensional data information of all patients before treatment and clinical manifestations after treatment; the matching module is used for recording the degree and the treatment scheme of matching the three-dimensional data information of the patients to be treated with each three-dimensional data information before the treatment of each patient to be treated; the analysis module is used for globally comparing the matching results of all the patients subjected to treatment to obtain a plurality of most similar patients and corresponding treatment schemes thereof; and the prediction module is used for carrying out statistics and voting on the scores of the clinical manifestations of the patients after treatment based on the most similar patients, so as to predict the clinical manifestations of the patients to be treated after treatment.
According to the method for determining the treatment scheme, provided by the embodiment of the invention, the advantages of big data mining are utilized to predict the clinical manifestation of the femoral head necrosis patient after treatment in advance, so that decision support is provided for the selection of the treatment scheme.
Example 2
According to another aspect of the embodiment of the present invention, there is provided a device for determining a therapeutic regimen, fig. 4 is a schematic diagram of the device for determining a therapeutic regimen according to an embodiment of the present invention, and as shown in fig. 4, the device for determining a therapeutic regimen includes: a first acquisition unit 41, a second acquisition unit 43, a matching unit 45 and a determination unit 47. The means for determining the treatment regimen will be described in detail below.
A first acquisition unit 41 for acquiring first three-dimensional data of an object to be processed.
The second acquiring unit 43 is configured to acquire second three-dimensional data before the plurality of processed objects are processed and feedback information after the plurality of processed objects are processed.
A matching unit 45, configured to match the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object, so as to obtain a similarity between the first three-dimensional data of the object to be processed and the second three-dimensional data of each of the plurality of processed objects.
A determining unit 47 for selecting a target treatment plan from the treatment plans of the plurality of processed subjects based on the similarity and the feedback information, and determining the target treatment plan as the treatment plan of the subject to be processed.
Here, the first acquiring unit 41, the second acquiring unit 43, the matching unit 45, and the determining unit 47 described above correspond to steps S102 to S108 in the embodiment, and the above-described units are the same as examples and application scenarios implemented by the corresponding steps, but are not limited to those disclosed in the above-described embodiment. It should be noted that the above-described elements may be implemented as part of an apparatus in a computer system such as a set of computer-executable instructions.
As can be seen from the above, in the above embodiments of the present application, the first three-dimensional data of the object to be processed may be acquired by using the first acquiring unit; then, a second acquisition unit is utilized to acquire second three-dimensional data before the plurality of processed objects are processed and feedback information after the plurality of processed objects are processed; matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object by utilizing a matching unit to obtain the similarity between the first three-dimensional data of the object to be processed and the second three-dimensional data of each processed object in the plurality of processed objects; and selecting a target treatment plan from the treatment plans of the plurality of processed objects based on the similarity and the feedback information by using the determining unit, and determining the target treatment plan as the treatment plan of the object to be processed. The device for determining the treatment scheme provided by the embodiment of the invention realizes that the three-dimensional data of the femoral head of the patient to be treated is matched with the three-dimensional data of the femoral head of the patient to be treated, and the treatment scheme corresponding to the first few patients with the highest similarity is obtained by searching, so that the purpose of determining the treatment scheme for treating the patient to be treated is achieved, the technical effect of improving the efficiency of determining the treatment scheme of the femoral head necrosis is achieved, and the technical problem that the treatment scheme of the femoral head necrosis is difficult to determine in the related art is solved.
In an alternative embodiment, the first acquisition unit comprises: the first acquisition module is used for acquiring medical image data of an object to be processed; the reverse processing module is used for carrying out reverse processing on the medical image data to obtain initial three-dimensional image data; the extraction module is used for extracting the three-dimensional data of the to-be-processed area of the to-be-processed object in the initial three-dimensional image data to obtain first three-dimensional data.
In an alternative embodiment, a reverse processing module includes: the importing sub-module is used for importing the two-dimensional data corresponding to the medical image data into the image data processing software; the acquisition sub-module is used for acquiring the output of the image data processing software; and the conversion sub-module is used for converting the output of the image data processing software into initial three-dimensional image data.
In an alternative embodiment, the apparatus for determining a treatment plan further comprises: the processing unit is used for processing the first three-dimensional data before matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object to obtain the processed first three-dimensional data; and the fitting unit is used for fitting the sphere of the region to be processed of the object to be processed by using a least square method and obtaining the characteristic data I of the region to be processed.
In an alternative embodiment, the matching unit comprises: the matching module is configured to match the first feature data of the to-be-processed area of the to-be-processed object with the second feature data of the processed area of the processed object obtained based on the second three-dimensional data of the processed object, so as to obtain a similarity between the first three-dimensional data of the to-be-processed object and the second three-dimensional data of each of the plurality of processed objects, where the first feature data and the second feature data both include: sphere center information and radius information.
In an alternative embodiment, the matching module includes: the first processing sub-module is used for overlapping the sphere center corresponding to the first characteristic data with the sphere center corresponding to the second characteristic data based on the sphere center information in the first characteristic data and the sphere center information in the second characteristic data; the first comparison sub-module is used for comparing the radius information in the first characteristic data with the radius information corresponding to the second characteristic data one by one to obtain a scaling factor when the radius information in the first characteristic data is identical with the radius information corresponding to the second characteristic data; the second processing submodule is used for scaling the three-dimensional model corresponding to the first three-dimensional data of the object to be processed based on the scaling coefficient to process the three-dimensional model to obtain a three-dimensional model of a region to be processed of the object to be processed; and the second comparison sub-module is used for comparing the three-dimensional model of the to-be-processed area of the to-be-processed object with the three-dimensional model of the to-be-processed area of the processed object to obtain the similarity.
In an alternative embodiment, the apparatus for determining a treatment plan further comprises: a third acquisition unit configured to acquire feedback information of at least one processed object processed with the target treatment plan after selecting the target treatment plan from the treatment plans of the plurality of processed objects based on the similarity and the feedback information and determining the target treatment plan as a treatment plan of the object to be processed; and the prediction unit is used for predicting the feedback information of the object to be processed after the object to be processed is processed by the target treatment scheme based on the feedback information of at least one processed object.
Example 3
According to another aspect of the embodiments of the present invention, there is also provided a storage medium including a stored program, wherein the program performs the method of determining a therapeutic regimen of any one of the above.
Example 4
According to another aspect of the embodiments of the present invention, there is also provided a processor for running a program, wherein the program, when run, performs the method of determining a therapeutic regimen according to any one of the above.
Example 5
According to another aspect of the embodiments of the present invention, there is provided a system for determining a treatment regimen, including: a memory, a processor coupled to the memory, the memory and the processor in communication via a bus system; the memory is used for storing a program, wherein the program, when being executed by the processor, controls the equipment where the memory is located to execute the method for determining the treatment scheme of any one of the above steps; the processor is configured to run a program, wherein the program, when run, performs the method of determining a treatment regimen of any of the above.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (7)
1. A method of determining a treatment regimen, comprising:
acquiring first three-dimensional data of an object to be processed;
acquiring second three-dimensional data before a plurality of processed objects are processed and feedback information after the plurality of processed objects are processed;
matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object to obtain the similarity of the first three-dimensional data of the object to be processed and the second three-dimensional data of each processed object in the plurality of processed objects;
selecting a target treatment plan from the treatment plans of the plurality of treated subjects based on the similarity and the feedback information, and determining the target treatment plan as the treatment plan of the subject to be treated;
wherein before said matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object, the method further comprises: processing the first three-dimensional data to obtain processed first three-dimensional data; fitting a sphere of a region to be processed of the object to be processed by using a least square method, and obtaining characteristic data I of the region to be processed;
the matching the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object to obtain the similarity between the first three-dimensional data of the object to be processed and the second three-dimensional data of each processed object in the plurality of processed objects, including: matching the first characteristic data of the to-be-processed area of the to-be-processed object with the second characteristic data of the processed area of the processed object, which is obtained based on the second three-dimensional data of the processed object, to obtain the similarity between the first three-dimensional data of the to-be-processed object and the second three-dimensional data of each processed object in the plurality of processed objects, wherein the first characteristic data and the second characteristic data comprise: sphere center information and radius information;
the matching the first feature data of the to-be-processed area of the to-be-processed object with the second feature data of the processed area of the processed object, which is obtained based on the second three-dimensional data of the processed object, to obtain the similarity between the first three-dimensional data of the to-be-processed object and the second three-dimensional data of each of the plurality of processed objects, includes: based on the center information in the first characteristic data and the center information in the second characteristic data, overlapping the center corresponding to the first characteristic data with the center corresponding to the second characteristic data; comparing the radius information in the first characteristic data with the radius information corresponding to the second characteristic data one by one to obtain a scaling factor when the radius information in the first characteristic data is identical with the radius information corresponding to the second characteristic data; scaling a three-dimensional model corresponding to the first three-dimensional data of the object to be processed based on the scaling coefficient to obtain a three-dimensional model of a region to be processed of the object to be processed; and comparing the three-dimensional model of the to-be-processed area of the to-be-processed object with the three-dimensional model of the processed area of the processed object to obtain the similarity.
2. The method of claim 1, wherein the acquiring the first three-dimensional data of the object to be processed comprises:
acquiring medical image data of the object to be processed;
performing reverse processing on the medical image data to obtain initial three-dimensional image data;
and extracting three-dimensional data of a to-be-processed area of the to-be-processed object in the initial three-dimensional image data to obtain the first three-dimensional data.
3. The method of claim 2, wherein the inverse processing the medical image data to obtain initial three-dimensional image data comprises:
importing the two-dimensional data corresponding to the medical image data into image data processing software;
acquiring the output of the image data processing software;
and converting the output of the image data processing software into the initial three-dimensional image data.
4. A method according to any one of claims 1 to 3, wherein after the selecting a target treatment plan from the treatment plans of the plurality of treated subjects based on the similarity and the feedback information, and determining the target treatment plan as the treatment plan of the subject to be treated, the method further comprises:
acquiring feedback information of at least one processed object processed with the target treatment regimen;
and predicting feedback information of the object to be processed after the object to be processed is processed by the target treatment scheme based on the feedback information of the at least one processed object.
5. A therapeutic regimen determination apparatus, comprising:
a first acquisition unit configured to acquire first three-dimensional data of an object to be processed;
a second acquisition unit configured to acquire second three-dimensional data before a plurality of processed objects are processed and feedback information after the plurality of processed objects are processed;
a matching unit, configured to match the first three-dimensional data of the object to be processed with the second three-dimensional data of the processed object, so as to obtain a similarity between the first three-dimensional data of the object to be processed and the second three-dimensional data of each of the plurality of processed objects;
a determining unit configured to select a target treatment plan from among the treatment plans of the plurality of processed objects based on the similarity and the feedback information, and determine the target treatment plan as a treatment plan of the object to be processed;
wherein the treatment regimen determination device further comprises: the processing unit is used for processing the first three-dimensional data before the first three-dimensional data of the object to be processed and the second three-dimensional data of the processed object are matched, so as to obtain processed first three-dimensional data; the fitting unit is used for fitting out the sphere of the region to be processed of the object to be processed by using a least square method, and obtaining characteristic data I of the region to be processed;
wherein, the matching unit includes: the matching module is configured to match the first feature data of the to-be-processed area of the to-be-processed object with the second feature data of the processed area of the processed object, which is obtained based on the second three-dimensional data of the processed object, to obtain a similarity between the first three-dimensional data of the to-be-processed object and the second three-dimensional data of each of the plurality of processed objects, where the first feature data and the second feature data each include: sphere center information and radius information;
wherein, the matching module includes: the first processing sub-module is used for overlapping the sphere center corresponding to the first characteristic data with the sphere center corresponding to the second characteristic data based on the sphere center information in the first characteristic data and the sphere center information in the second characteristic data; the first comparison sub-module is used for comparing the radius information in the first characteristic data with the radius information corresponding to the second characteristic data one by one to obtain a scaling factor when the radius information in the first characteristic data is identical with the radius information corresponding to the second characteristic data; the second processing submodule is used for scaling the three-dimensional model corresponding to the first three-dimensional data of the object to be processed based on the scaling coefficient to obtain a three-dimensional model of a region to be processed of the object to be processed; and the second comparison sub-module is used for comparing the three-dimensional model of the to-be-processed area of the to-be-processed object with the three-dimensional model of the processed area of the processed object to obtain the similarity.
6. A processor for running a program, wherein the program when run performs the method of determining a treatment regimen according to any one of claims 1 to 4.
7. A system for determining a treatment regimen, comprising:
a memory, a processor coupled to the memory, the memory and the processor in communication through a bus system;
the memory is used for storing a program, wherein the program, when executed by a processor, controls a device in which the memory is located to perform the method of determining a treatment regimen according to any one of claims 1 to 4;
the processor is configured to run a program, wherein the program when run performs the method of determining a treatment regimen of any one of claims 1 to 4.
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