阅读说明：本技术 一种基于超分辨率重建的多模医学图像配准系统 (Multimode medical image registration system based on super-resolution reconstruction ) 是由 翟凤文 常郑雄 于 2021-07-20 设计创作，主要内容包括：本发明公开了一种基于超分辨率重建的多模医学图像配准系统,包括管理系统,所述管理系统与数据采集模块实现双向连接,并且管理系统通过无线与无线通讯模块实现双向连接,本发明涉及智能医学技术领域。该基于超分辨率重建的多模医学图像配准系统,通过中央控制系统的输出端与图像配准模块的输入端连接,提高由于设备、人为操作而造成的分辨率低引起的标准化程度差异问题,配准前使用图像配准模块处理之后可以提高配准精度,方便医生进行图像的查看,提高诊断的精确性,通过控制终端包括综合分析模块,促进了医疗信息化和标准化的发展,提高诊疗效率,提高了医疗资源的有效利用率,缓解医生和医院的工作负担。(The invention discloses a multi-mode medical image registration system based on super-resolution reconstruction, which comprises a management system, wherein the management system is in bidirectional connection with a data acquisition module, and the management system is in bidirectional connection with a wireless communication module through a wireless interface. The multi-mode medical image registration system based on super-resolution reconstruction improves the problem of standardization degree difference caused by low resolution ratio due to equipment and manual operation by connecting the output end of a central control system with the input end of an image registration module, improves registration precision after the image registration module is used for processing before registration, facilitates the image checking of a doctor, improves the diagnosis precision, promotes the development of medical informatization and standardization by including a comprehensive analysis module through a control terminal, improves diagnosis and treatment efficiency, improves the effective utilization rate of medical resources, and relieves the workload of the doctor and a hospital.)

1. A multi-modality medical image registration system based on super-resolution reconstruction, comprising a management system (1), characterized in that: the management system (1) is in bidirectional connection with the data acquisition module (2), the management system (1) is in bidirectional connection with the wireless communication module (3) through wireless, the wireless communication module (3) is in bidirectional connection with the control terminal (4) through wireless, the management system (1) is in bidirectional connection with the large database (5), the management system (1) comprises a central control system (11), the output end of the central control system (11) is connected with the input end of the image registration module (12), the output end of the image registration module (12) is connected with the input end of a super-resolution reconstruction unit (13), the output end of the super-resolution reconstruction unit (13) is connected with the input end of the image data optimization reconstruction module (14), and the output end of the image data optimization reconstruction module (14) is connected with the input end of the central control system (11), the output end of the central control system (11) is connected with the input end of the image operation unit (15), the output end of the central control system (11) is connected with the input end of the image data analysis module (16), the output end of the image data analysis module (16) is connected with the input end of the analysis result output module (17), and the output end of the analysis result output module (17) is connected with the input end of the central control system (11).

2. The multi-modality medical image registration system based on super-resolution reconstruction as claimed in claim 1, wherein: the super-resolution reconstruction unit (13) comprises a super-resolution model construction module (131), and the image operation unit (15) comprises an image storing and releasing module (151), a size modification module (152) and a view switching module (153).

3. The multi-modality medical image registration system based on super-resolution reconstruction as claimed in claim 1, wherein: the image registration module (12) comprises an image import module (121), wherein the output end of the image import module (121) is connected with the input end of an image type size judgment module (122), and the output end of the image type size judgment module (122) is connected with the input end of an image noise reduction processing module (123).

4. The multi-modality medical image registration system based on super-resolution reconstruction as claimed in claim 3, wherein: the output of the image denoising processing module (123) is connected to the input of the transformation model selection module (124), and the output of the transformation model selection module (124) is connected to the input of the registered image output module (125).

5. The multi-modality medical image registration system based on super-resolution reconstruction as claimed in claim 1, wherein: the input end of the central control system (11) is connected with the output end of the image preprocessing module (18), the input end of the image preprocessing module (18) is connected with the output end of the medical image data receiving module (19), and the output end of the central control system (11) is connected with the input end of the image display module (110).

6. The multi-modality medical image registration system based on super-resolution reconstruction as claimed in claim 1, wherein: the control terminal (4) comprises an integrated analysis module (41), the input end of the integrated analysis module (41) is connected with the output ends of the analysis result acquisition module (42) and the medical institution related information acquisition module (43), the output end of the integrated analysis module (41) is respectively connected with the input ends of a referral suggestion module (44) and a consultation suggestion module (45), and the output ends of the referral suggestion module (44) and the consultation suggestion module (45) are connected with the input end of a feedback module (46).

7. The multi-modality medical image registration system based on super-resolution reconstruction as claimed in claim 1, wherein: the data acquisition module (2) comprises an image data acquisition module (21), the output end of the image data acquisition module (21) is connected with the input end of an image data standardization processing module (22), and the output end of the image data standardization processing module (22) is connected with the input end of a data uploading module (23).

8. The multi-modality medical image registration system based on super-resolution reconstruction as claimed in claim 1, wherein: the big database (5) comprises an image data scanning module (51), the output end of the image data scanning module (51) is connected with the input end of an image data classifying module (52), and the output end of the image data classifying module (52) is connected with the input end of a classifying storage module (53).

Technical Field

The invention relates to the technical field of intelligent medicine, in particular to a multi-mode medical image registration system based on super-resolution reconstruction.

Background

The theoretical core of intelligent medicine is material, energy and information, it researches the motion law of material, the motion law of energy and the method of receiving and distributing the information which exists and changes in motion by using material and energy as carrier, the medical image refers to the technology and process for non-invasively obtaining internal tissue image for human body or some part of human body for medical treatment or medical research, it includes the following two relatively independent research directions: the medical imaging system and the medical image processing, the former refers to the process of image formation, including the research on the problems of imaging mechanism, imaging equipment, imaging system analysis and the like; the latter refers to further processing of the acquired images, either to restore the original less sharp image, to highlight some feature information in the image, to classify the pattern of the image, or the like.

The existing medical images can be acquired from different medical institutions or different devices, the acquired medical images have standardized differences in resolution due to human reasons or other reasons, the definition and the standardization degree of the medical images directly influence the diagnosis of doctors, the diagnosis and treatment efficiency of the doctors is reduced, and meanwhile, the medical images are inconvenient to be adjusted in an operable manner.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides a multi-mode medical image registration system based on super-resolution reconstruction, which solves the problems that the resolution of an acquired medical image has standardized difference due to human reasons or other reasons, the diagnosis of a doctor is directly influenced by the definition and the standardization degree of the medical image, the diagnosis and treatment efficiency of the doctor is reduced, and meanwhile, the operable adjustment of the medical image is inconvenient.

In order to achieve the purpose, the invention is realized by the following technical scheme: a multimode medical image registration system based on super-resolution reconstruction comprises a management system, wherein the management system is in bidirectional connection with a data acquisition module and is in bidirectional connection with a wireless communication module through wireless, the wireless communication module is in bidirectional connection with a control terminal through wireless, the management system is in bidirectional connection with a large database, the management system comprises a central control system, the output end of the central control system is connected with the input end of an image registration module, the output end of the image registration module is connected with the input end of a super-resolution reconstruction unit, the output end of the super-resolution reconstruction unit is connected with the input end of an image data optimization reconstruction module, the output end of the image data optimization reconstruction module is connected with the input end of the central control system, and the output end of the central control system is connected with the input end of an image operation unit, the output end of the central control system is connected with the input end of the image data analysis module, the output end of the image data analysis module is connected with the input end of the analysis result output module, and the output end of the analysis result output module is connected with the input end of the central control system.

Preferably, the super-resolution reconstruction unit comprises a super-resolution model construction module, and the image operation unit comprises an image storing and releasing module, a size modification module and a view switching module.

Preferably, the image registration module comprises an image import module, an output end of the image import module is connected with an input end of the image type size determination module, and an output end of the image type size determination module is connected with an input end of the image noise reduction processing module.

Preferably, the output end of the image denoising processing module is connected with the input end of the transformation model selection module, and the output end of the transformation model selection module is connected with the input end of the registration image output module.

Preferably, the input end of the central control system is connected with the output end of the image preprocessing module, the input end of the image preprocessing module is connected with the output end of the medical image data receiving module, and the output end of the central control system is connected with the input end of the image display module.

Preferably, the control terminal comprises an integrated analysis module, an input end of the integrated analysis module is connected with output ends of the analysis result acquisition module and the medical institution related information acquisition module, an output end of the integrated analysis module is respectively connected with input ends of the referral suggestion module and the consultation suggestion module, and output ends of the referral suggestion module and the consultation suggestion module are connected with an input end of the feedback module.

Preferably, the data acquisition module comprises an image data acquisition module, an output end of the image data acquisition module is connected with an input end of the image data standardization processing module, and an output end of the image data standardization processing module is connected with an input end of the data uploading module.

Preferably, the large database comprises an image data scanning module, an output end of the image data scanning module is connected with an input end of the image data classifying module, and an output end of the image data classifying module is connected with an input end of the classifying storage module.

Advantageous effects

The invention provides a multi-mode medical image registration system based on super-resolution reconstruction. Compared with the prior art, the method has the following beneficial effects:

(1) the multimode medical image registration system based on super-resolution reconstruction is connected with the input end of an image registration module through the output end of a central control system, the output end of the image registration module is connected with the input end of a super-resolution reconstruction unit, the output end of the super-resolution reconstruction unit is connected with the input end of an image data optimization reconstruction module, the output end of the image data optimization reconstruction module is connected with the input end of the central control system, the output end of the central control system is connected with the input end of an image operation unit, the output end of the central control system is connected with the input end of an image data analysis module, the output end of the image data analysis module is connected with the input end of an analysis result output module, the output end of the analysis result output module is connected with the input end of the central control system, and a super-resolution reconstruction mode is adopted, the super-resolution reconstruction method can perform super-resolution reconstruction on the same medical image data acquired by different hospitals and different devices, improve the problem of standardization degree difference caused by low resolution due to equipment and manual operation, improve the registration accuracy after the image registration module is used for processing before registration, facilitate the checking of images by doctors, and improve the diagnosis accuracy.

(2) The multimode medical image registration system based on super-resolution reconstruction comprises an integrated analysis module through a control terminal, wherein the input end of the integrated analysis module is connected with the output ends of an analysis result acquisition module and a medical institution related information acquisition module, the output end of the integrated analysis module is respectively connected with the input ends of a referral suggestion module and a consultation suggestion module, the output ends of the referral suggestion module and the consultation suggestion module are connected with the input end of a feedback module, a data acquisition module comprises an image data acquisition module, the output end of the image data acquisition module is connected with the input end of an image data standardization processing module, the output end of the image data standardization processing module is connected with the input end of a data uploading module, a large database comprises an image data scanning module, the output end of the image data scanning module is connected with the input end of an image data classification module, and the output of image data classification module is connected with the input of categorised storage module, can cooperate looking over of image through the calling of each item information, and more comprehensive grasp patient's the condition, promoted medical informatization and standardized development, improve and diagnose efficiency, improved the effective utilization ratio of medical resource, alleviate the work burden of doctor and hospital.

Drawings

FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;

FIG. 2 is a schematic block diagram of the architecture of the big database of the present invention;

FIG. 3 is a schematic block diagram of the structure of a data acquisition module of the present invention;

FIG. 4 is a schematic block diagram of the structure of the control terminal of the present invention;

fig. 5 is a schematic block diagram of the structure of the management system of the present invention.

In the figure: 1-management system, 11-central control system, 12-image registration module, 121-image import module, 122-image type size judgment module, 123-image denoising processing module, 124-transformation model selection module, 125-registration image output module, 13-super-resolution reconstruction unit, 131-super-resolution model construction module, 14-image data optimization reconstruction module, 15-image operation unit, 151-image receiving and releasing module, 152-size modification module, 153-view switching module, 16-image data analysis module, 17-analysis result output module, 18-image preprocessing module, 19-medical image data receiving module, 110-image display module, 2-data acquisition module, 2-image acquisition module, image processing module, 2-image processing module, 21-an image data acquisition module, 22-an image data standardization processing module, 23-a data uploading module, 3-a wireless communication module, 4-a control terminal, 41-a comprehensive analysis module, 42-an analysis result acquisition module, 43-a medical institution related information acquisition module, 44-a referral suggestion module, 45-a consultation suggestion module, 46-a feedback module, 5-a large database, 51-an image data scanning module, 52-an image data classification module and 53-a classification storage module.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.

Referring to fig. 1-5, the present invention provides a technical solution: a multimode medical image registration system based on super-resolution reconstruction comprises a management system 1, the management system 1 is in bidirectional connection with a data acquisition module 2, the data acquisition module 2 comprises an image data acquisition module 21, the output end of the image data acquisition module 21 is connected with the input end of an image data standardization processing module 22, the output end of the image data standardization processing module 22 is connected with the input end of a data uploading module 23, the management system 1 is in bidirectional connection with a wireless communication module 3 through wireless, the wireless communication module 3 is in bidirectional connection with a control terminal 4 through wireless, the control terminal 4 comprises an integrated analysis module 41, the input end of the integrated analysis module 41 is connected with the output ends of an analysis result acquisition module 42 and a medical institution related information acquisition module 43, and images can be checked in a matching manner of calling and retrieving various information, the condition of the patient is more comprehensively mastered, the development of medical informatization and standardization is promoted, the diagnosis and treatment efficiency is improved, the effective utilization rate of medical resources is improved, the workload of doctors and hospitals is relieved, the output end of the comprehensive analysis module 41 is respectively connected with the input ends of the referral suggestion module 44 and the consultation suggestion module 45, the output ends of the referral suggestion module 44 and the consultation suggestion module 45 are connected with the input end of the feedback module 46, the management system 1 is bidirectionally connected with the big database 5, the big database 5 comprises an image data scanning module 51, the output end of the image data scanning module 51 is connected with the input end of the image data classification module 52, the output end of the image data classification module 52 is connected with the input end of the classification storage module 53, the management system 1 comprises a central control system 11, the input end of the central control system 11 is connected with the output end of the image preprocessing module 18, and the input end of the image preprocessing module 18 is connected with the output end of the medical image data receiving module 19, the output end of the central control system 11 is connected with the input end of the image display module 110, the output end of the central control system 11 is connected with the input end of the image registration module 12, the image registration module 12 comprises an image import module 121, the output end of the image import module 121 is connected with the input end of the image type size determination module 122, the output end of the image type size determination module 122 is connected with the input end of the image denoising processing module 123, the output end of the image denoising processing module 123 is connected with the input end of the transformation model selection module 124, the output end of the transformation model selection module 124 is connected with the input end of the registration image output module 125, and the output end of the image registration module 12 is connected with the input end of the super-resolution reconstruction unit 13, the super-resolution reconstruction unit 13 comprises a super-resolution model construction module 131, the image operation unit 15 comprises an image storing and releasing module 151, a size modification module 152 and a view switching module 153, the output end of the super-resolution reconstruction unit 13 is connected with the input end of the image data optimization reconstruction module 14, and the output end of the image data optimization reconstruction module 14 is connected with the input end of the central control system 11, the output end of the central control system 11 is connected with the input end of the image operation unit 15, and an output of the central control system 11 is connected to an input of an image data analysis module 16, the output end of the image data analysis module 16 is connected with the input end of the analysis result output module 17, the output end of the analysis result output module 17 is connected with the input end of the central control system 11, and those not described in detail in this specification are well within the skill of those in the art.

When in use, the image data acquisition module 21 acquires medical images from each medical institution, the acquired images are converted into standardized modes through the image data standardization processing module 22, the data uploading module 23 transmits the standardized image data to the management system 1, the image preprocessing module 18 preprocesses the received medical image data, the central control system 11 transmits the preprocessed images to the image registration module 12 to determine the data type and size of the images, the image denoising processing module 123 performs denoising processing on the images, then determines transformation models used in the registration process according to the actual characteristics of the images, then performs image registration operation, the registered image output module 125 outputs the registered images, the super-resolution model construction module 131 in the super-resolution reconstruction unit 13 constructs models, the registered images are imported into the model, the image data optimization reconstruction module 14 performs optimization reconstruction on the images, the optimized image data is transmitted to the central control system 11, then the image data analysis module 16 analyzes the optimized images, the analysis result is transmitted to the central control system 11, the images are displayed through the image display module 110, meanwhile, the image operation unit 15 can receive, release, modify and view the image, the control terminal 4 receives the analysis result, then, comprehensive analysis is carried out according to the relevant information of the medical institution, and then a referral suggestion or a consultation suggestion is made according to the analysis result, and feeds back it through the feedback module 46, all the data will be stored by the big database 5, the big database 5 classifies the image data, and then the classified data is stored by the classified storage module 53.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.