CN111415727A - Multi-mode image data management system and analysis method - Google Patents
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Abstract
The invention is suitable for the technical field of medical multi-modal images, and provides a multi-modal image data management system and an analysis method, wherein the system comprises an image shooting module for shooting multi-modal images in a patient body, an image database, a storage module and a comparison module, wherein the image database and the storage module are in data connection with the comparison module; the image shooting module is to shoot the inside of formed multi-modal image data transmission to image database to the patient and save, follow this according to patient's multi-modal image data convert it into the internal three-dimensional view of patient, and send to inside the contrast module, the contrast module is called the internal structure picture of the interior usual human of storage module inside and the internal three-dimensional view of the patient that shoots before the patient and is contrasted, and send the result of contrast and show, supply medical personnel to examine and watch, and then avoided medical personnel's solitary naked eye identification, and fully reduce patient's eye fatigue.
Description
Technical Field
The invention belongs to the technical field of medical multi-mode images, and particularly relates to a multi-mode image data management system and an analysis method.
Background
The medical imaging technology provides medical images of various modalities for clinical diagnosis, such as X-ray imaging, CT (computed tomography), MRI (magnetic resonance imaging), PET (positron emission tomography), medical ultrasonography, blood vessel photography, cardiovascular radiography and the like, wherein the medical images and report data comprise images and report data generated by various medical examinations; sometimes, the image data indicates that some pathological changes of the patient need to be pathologically checked, and corresponding pathological report data also exists in the image and report data
At present, most medical workers use multi-mode images in the body of a patient to observe the condition in the body of the patient, and the medical workers are easy to have eye fatigue due to the observation of the images and images by naked eyes, so that the medical workers can perform follow-up work.
Disclosure of Invention
The invention provides a multi-modal image data management system and an analysis method, and aims to solve the problems that most of medical workers use multi-modal images in a patient body to observe the condition in the patient body at present, and the medical workers are easy to have eye fatigue due to the observation of the images and images by naked eyes, so that the medical workers are imaged to work subsequently.
The invention is realized in such a way, a multi-modal image data management system comprises an image shooting module for carrying out multi-modal image shooting on the internal part of a patient, and further comprises an image database, a storage module, a comparison module and an image processing module, wherein the image database and the storage module are both in data connection with the comparison module, the image shooting module is connected with the input end of the image database, the image shooting module sends the multi-modal image data shot by the image shooting module to the internal part of the image database for storage, the image database simulates the three-dimensional view of the internal part of the human body according to the multi-modal image data and compares the human body three-dimensional image stored in the image database and the storage module by the comparison module, the image processing module is connected with the image database, and the image processing module marks the characteristics of the image data into the image data according to the determined medical record data of the, and synchronously adding the synchronous index key words of the image data, and sending the synchronous index key words to the inside of the storage module for storage.
Preferably, the imaging system further comprises an imaging module, wherein the imaging module comprises a decomposition module and an imprinting module, the decomposition module decomposes the image data shot by the patient into a limb body, the imprinting module marks the joint part in the decomposed image, and the input end and the output end of the imaging module are respectively connected with the image shooting module and the image database and used for imaging the image shot by the image shooting module.
Preferably, the image database comprises a classification module, an identification module and a three-dimensional module, wherein the classification module is used for classifying multi-modal image data, the identification module is used for identifying the images in the body of the patient and important organs in the images, and the three-dimensional module is connected with the comparison module and used for planning and sending three-dimensional views in the body of the patient.
Preferably, the classification module classifies the image data according to the object captured in the image and the content of the image.
Preferably, the data stored in the storage module includes pathological report of patient, internal three-dimensional view formed by previous shooting of patient and internal three-dimensional view of normal human body
Preferably, the image processing module comprises a structure submodule, a scanning device, a matching submodule and a scheduling unit, the scheduling unit calls case data stored in the storage module and scans a case report finally determined by medical staff by using the scanning device, the structure submodule is connected with the image database and calls image data stored in the image database and sends the image data to the matching submodule, and the matching submodule carries out medical feature labeling on the medical image according to the two case data and synchronously adds an index keyword of the medical feature to be stored in the storage module.
Preferably, the device further comprises a display module, wherein the comparison module is connected with the display module and is used for receiving and displaying the distinguishing features compared by the comparison module.
A multi-modal image data management analysis method comprises the following steps:
step S10: taking a multi-modal image in the body of a patient, and decomposing and marking the image;
step S20: storing the formed multi-modal image data;
step S30: marking important organ parts in the body of the patient in the image data;
step S40: comparing the marked image data in the patient body with the original image data and the marked vertebra image data;
step S50: the comparison yields the difference between the image data.
Preferably, the method further comprises the following steps:
step S60: sending the data to the inside of a display module for displaying;
step S70: after the case data of the patient is determined, the case data is scanned and matched with the image data corresponding to the patient, and the case data is indexed and stored. .
Preferably, in step S60, the data to be compared and distinguished is transmitted and displayed, and the medical history data of the patient is synchronously transmitted.
Compared with the prior art, the invention has the beneficial effects that: the invention relates to a multi-mode image data management system and an analysis method, wherein an image shooting module, an image database, a storage module and a comparison module are arranged, in the using process, the image shooting module sends multi-mode image data formed by shooting a patient to the interior of the image database for storage, then the multi-mode image data of the patient are converted into a three-dimensional view in the body of the patient according to the multi-mode image data of the patient and sent to the interior of the comparison module, the comparison module calls a structure diagram in the body of a normal person stored in the storage module to compare with the three-dimensional view in the body of the patient shot before, and sends and displays the comparison result for medical care personnel to examine and watch, thereby avoiding the individual visual identification of the medical care personnel, fully reducing the eye fatigue of the patient, and further marking the medical image data under the action of the image processing module, and the setting of synchronous index keyword can be more convenient to the calling of medical personnel to same symptom patient image data.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic flow diagram of a process of the present invention;
in the figure: 1. an image shooting module; 2. an imaging module; 21. a decomposition module; 22. an imprinting module; 3. an image database; 31. a classification module; 32. an identification module; 33. a three-dimensional module; 4. a storage module; 5. a comparison module; 6. a display module; 7. an image processing module; 71. a structural submodule; 72. a scanning device; 73. a matching subunit; 74. and a scheduling unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, the present invention provides a technical solution: a multi-modal image data management system comprises an image shooting module 1 for shooting multi-modal images in a patient body, an image database 3, a storage module 4, a comparison module 5 and an image processing module 7, wherein the image database 3 and the storage module 4 are in data connection with the comparison module 5, the image shooting module 1 is connected with an input end of the image database 3, the image shooting module 1 sends the multi-modal image data shot by the image shooting module 1 to the inside of the image database 3 for storage, the image database 3 simulates a three-dimensional view of the inside of a human body according to the multi-modal image data and compares three-dimensional images of the human body stored in the image database 3 and the storage module 4 through the comparison module 5, the image processing module 7 is connected with the image database 3, and the image processing module 7 marks the medical record characteristics of the patient into the image data according to the determined medical record data of the patient, and synchronously adding the synchronous index key words of the image data, and sending the synchronous index key words to the inside of the storage module 4 for storage.
In the present embodiment, during the use process, firstly, the image capturing module 1 captures the image data of the patient, and the plurality of image capturing modules 1 can be arranged, the plurality of image capturing modules 1 captures the multi-modal image data of the patient in vivo, and transmits the captured image data to the inside of the imaging module 2, after the imaging module 2 receives the multi-modal image data, the image data is processed into an image, and the multi-modal image in the patient body formed after the processing is transmitted to the inside of the image database 3, because the classification module 31, the identification module 32 and the three-dimensional module 33 are arranged in the image database 3, firstly, the multi-modal image received by the image database 3 is classified by the classification module 31, and the classification can be performed according to the body part captured by the multi-modal image and the content of the image, then the three-dimensional module 33 converts the three-dimensional view in the human body according to the classified multi-modal images and the image data, then the identification module 32 labels important organs and blood vessels according to the formed three-dimensional view, the names of the labels and the labels can select medical proper terms corresponding to the organs and the blood vessels, so that the medical staff can more conveniently watch the three-dimensional view, then the three-dimensional module 33 sends the three-dimensional view in the patient body, which is identified and labeled by the identification module 32, to the inside of the comparison module 5, because the comparison module 5 is connected with the storage module 4, and the pathology report of the patient, the three-dimensional view in the body, which is formed by shooting before the patient, and the three-dimensional view in the normal body are stored in the storage module 4, then the comparison module 5 can call the three-dimensional view in the body, which is shot before the patient, and the three-dimensional, the three-dimensional views of the two images are respectively compared with the three-dimensional view in the patient body sent by the three-dimensional module 33, the contrast of the contrast module 5 is used for distinguishing the three-dimensional view formed by shooting in the patient body from the three-dimensional view in the patient body shot before and the three-dimensional view in the normal human body, the compared distinguishing characteristics are marked and sent to the inside of the display module 6 for displaying for medical staff to examine and watch, so that the medical staff is prevented from identifying by naked eyes alone and the eye fatigue of the patient is fully reduced, then, after the medical staff watches the medical images of the patient, the medical staff can determine the state of illness of the patient, so that the medical staff can update the diagnosis manual of the patient case, and due to the arrangement of the scanning device 72, the case data updated by the medical staff of the medical manual can be scanned, and the character data is formed and sent to the inside of the matching subunit 73, then, the structure sub-module 71 retrieves historical patient medical record data stored in the image database 3 and sends the historical patient medical record data to the matching sub-unit 73 again, the matching sub-unit 73 retrieves disease keywords according to the patient medical record data sent by the scanning device 72 and the scheduling unit 74, labels medical record features of the disease keywords into image data, and sends the keywords synchronously added with indexes to the storage module 4 for storage, so that medical staff can conveniently retrieve the medical record data subsequently; for example: the patient suffers from the tumour through the diagnosis, and then the matching submodule just can be listed as the keyword with "tumour", and carry out the mark of position on patient's medical image in step, and annotate the size etc. of "tumour" according to the data, afterwards, alright save the inside of storage module 4 with the index keyword of patient's medical image data addition "tumour", when medical personnel need carry out subsequent retrieval, alright retrieve the patient image data of the same state of an illness according to the keyword of index, and then make things convenient for contrast and subsequent retrieval between the medical image.
Further, still include imaging module 2, imaging module 2 includes decomposition module 21 and seal of a government organization in old china module 22, and decomposition module 21 carries out the decomposition of the shank to the image data that the patient was shot, and utilizes seal of a government organization in old china module 22 to decomposing the joint part in the image and annotating imaging module 2's input and output and be connected with image shooting module 1 and image database 3 respectively for the imaging of the image is shot to image shooting module 1.
In the embodiment, during the use process, the image capturing module 1 sends the captured image data to the inside of the imaging module 2, and after the imaging module 2 receives the multi-modal image data, the image data is processed into an image, in the processing process, firstly, the multi-modal image data captured by the patient is decomposed into image data corresponding to multiple limbs by the decomposition module 21 according to the limbs of the patient, and the decomposed image data is sent to the marking module 22, the joint part and the muscle part in the limb image are marked by the marking module 22, and the marked image data is sent to the inside of the image database 3, so that the comparison between the subsequent image and the image is convenient, and the comparison of the limb image is simpler and clearer, so the use is more convenient.
Further, the image database 3 includes a classification module 31, an identification module 32 and a three-dimensional module 33, where the classification module 31 is configured to classify the multi-modal image data, and the identification module 32 is configured to identify the images in the patient and the important organs in the images; the classification module 31 classifies the image data according to the object captured in the image and the content of the image, and the three-dimensional module 33 is connected to the comparison module 5 for planning and transmitting the three-dimensional view of the patient's body.
In this embodiment, the multi-modal images received by the image database 3 are classified by the classification module 31, and can be classified according to the body parts and the content of the images photographed by the multi-modal images, then the three-dimensional module 33 converts the three-dimensional view of the body according to the classified multi-modal images and the image data, then the identification module 32 performs the labeling identification of the important organs and blood vessels according to the formed three-dimensional view, and the names of the identification and the labeling can select the medical proper nouns corresponding to the organs and the blood vessels, thereby facilitating the subsequent viewing of the medical care personnel.
Further, the image processing module 7 includes a structure sub-module 71, a scanning device 72, a matching sub-unit 73 and a scheduling unit 74, the scheduling unit 74 retrieves case data stored in the storage module 4, and scans a case report finally determined by the medical staff by using the scanning device 72, the structure sub-module 71 is connected with the image database 3, retrieves image data stored in the image database 3, and sends the image data to the matching sub-unit 73, the matching sub-unit 73 performs medical feature labeling on the medical image according to the two case data, and synchronously adds an index keyword of the medical feature to the storage module 4 for storage.
In the present embodiment, after the medical staff views the medical image of the patient, the medical staff can determine the condition of the patient and update the diagnosis manual for the patient's case, due to the arrangement of the scanning device 72, the case data updated by the medical staff of the medical record manual can be scanned, and forms text data to be sent to the interior of the matching sub-unit 73, and then the structure sub-module 71 retrieves the historical medical record data of the patient stored in the image database 3, and then sent to the matching subunit 73 again, the matching subunit 73 calls the disease keywords according to the patient case data sent by the scanning device 72 and the scheduling unit 74, labels the medical record features to the image data, and the keywords synchronously added with the index are sent to the inside of the storage module 4 for storage, so that the medical staff can conveniently take the keywords subsequently.
Further, the data stored inside the storage module 4 includes pathological reports of the patient, in-vivo three-dimensional views previously taken by the patient, and in-vivo three-dimensional views of the normal human body.
In the embodiment, in the using process, when the comparison module 5 sends the labeled distinguishing features to the inside of the display module 6, the pathological report of the patient is synchronously sent to the inside of the display module 6 for the medical staff to synchronously watch and reference.
Further, the device also comprises a display module 6, and the comparison module 5 is connected with the display module 6 and used for receiving and displaying the distinguishing features compared by the comparison module 5.
In the embodiment, in the using process, the comparison module 5 sends the marked distinguishing features to the inside of the display module 6 for display, so that medical staff can review and watch the distinguishing features, and the medical staff is prevented from being identified by naked eyes independently.
Referring to fig. 2, a method for managing and analyzing multi-modal image data includes the following steps:
step S10: taking a multi-modal image in the body of a patient, and decomposing and marking the image;
step S20: storing the formed multi-modal image data;
step S30: marking important organ parts in the body of the patient in the image data;
step S40: comparing the marked image data in the patient body with the original image data and the marked vertebra image data;
step S50: comparing to obtain the difference between the image data;
step S60: and sent to the inside of the display module 6 for display.
Step S70: after the case data of the patient is determined, the case data is scanned and matched with the image data corresponding to the patient, and the case data is indexed and stored.
In the present embodiment, firstly, the image capturing module 1 captures the image data of a patient, and a plurality of image capturing modules 1 can be provided, the plurality of image capturing modules 1 capture multi-modal image data of the patient in vivo, and transmit the captured image data to the inside of the imaging module 2, when the imaging module 2 receives the multi-modal image data, the image data is processed into an image, and the multi-modal image of the patient in vivo formed after the processing is transmitted to the inside of the image database 3, because the classification module 31, the identification module 32 and the three-dimensional module 33 are provided in the image database 3, firstly, the multi-modal image received by the image database 3 is classified by the classification module 31, and can be classified according to the body part captured by the multi-modal image and the content of the image, then the three-dimensional module 33 converts the three-dimensional view in the human body according to the classified multi-modal images and the image data, then the identification module 32 labels important organs and blood vessels according to the formed three-dimensional view, the names of the labels and the labels can select medical proper terms corresponding to the organs and the blood vessels, so that the medical staff can more conveniently watch the three-dimensional view, then the three-dimensional module 33 sends the three-dimensional view in the patient body, which is identified and labeled by the identification module 32, to the inside of the comparison module 5, because the comparison module 5 is connected with the storage module 4, and the pathology report of the patient, the three-dimensional view in the body, which is formed by shooting before the patient, and the three-dimensional view in the normal body are stored in the storage module 4, then the comparison module 5 can call the three-dimensional view in the body, which is shot before the patient, and the three-dimensional, the three-dimensional views of the two images are respectively compared with the three-dimensional view in the patient body sent by the three-dimensional module 33, the contrast of the contrast module 5 is used for distinguishing the three-dimensional view formed by shooting in the patient body from the three-dimensional view in the patient body shot before and the three-dimensional view in the normal human body, the compared distinguishing characteristics are marked and sent to the inside of the display module 6 for displaying for medical staff to examine and watch, so that the medical staff is prevented from identifying by naked eyes alone and the eye fatigue of the patient is fully reduced, then, after the medical staff watches the medical images of the patient, the medical staff can determine the state of illness of the patient, so that the medical staff can update the diagnosis manual of the patient case, and due to the arrangement of the scanning device 72, the case data updated by the medical staff of the medical manual can be scanned, and the character data is formed and sent to the inside of the matching subunit 73, subsequently, the structure sub-module 71 retrieves historical patient medical record data stored in the image database 3 and sends the historical patient medical record data to the matching sub-unit 73 again, the matching sub-unit 73 retrieves disease keywords according to the patient medical record data sent by the scanning device 72 and the scheduling unit 74, labels medical record features of the disease keywords into image data, and synchronously adds indexed keywords to the inside of the storage module 4 for storage, so that medical staff can conveniently retrieve the medical record data subsequently.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. The utility model provides a multimode image data management system, is including being used for taking the module to the image that carries out multimode image to taking in the patient, its characterized in that: also comprises an image database, a storage module, a comparison module and an image processing module, wherein the image database and the storage module are in data connection with the comparison module, the image shooting module is connected with the input end of the image database, the image shooting module sends the multi-modal image data shot by the image shooting module to the interior of the image database for storage, the image database simulates the three-dimensional view of the interior of the human body according to the multi-modal image data, and the image database is compared with the human body three-dimensional image stored in the storage module through the comparison module, the image processing module is connected with the image database, the image processing module labels the medical record characteristics of the patient into the image data according to the determined medical record data of the patient, and synchronously adding the synchronous index key words of the image data, and sending the synchronous index key words to the inside of the storage module for storage.
2. The multi-modality image data management system according to claim 1, wherein: the imaging system is characterized by further comprising an imaging module, wherein the imaging module comprises a decomposition module and a mark printing module, the decomposition module is used for decomposing limb bodies of image data shot by a patient and marking joint parts in decomposed images by the mark printing module, and the input end and the output end of the imaging module are respectively connected with the image shooting module and the image database and used for imaging images shot by the image shooting module.
3. The multi-modality image data management system according to claim 1, wherein: the image database comprises a classification module, an identification module and a three-dimensional module, wherein the classification module is used for classifying multi-modal image data, the identification module is used for identifying the images in the body of the patient and important organs in the images, and the three-dimensional module is connected with the comparison module and used for planning and sending three-dimensional views in the body of the patient.
4. The multi-modality image data management system according to claim 3, wherein: the classification module classifies the image data according to the object shot in the image and the content of the image.
5. The multi-modality image data management system according to claim 1, wherein: the data stored inside the storage module includes pathological reports of the patient, in-vivo three-dimensional views previously taken by the patient and in-vivo three-dimensional views of a normal human body.
6. The multi-modality image data management system according to claim 1, wherein: the image processing module comprises a structure submodule, a scanning device, a matching subunit and a scheduling unit, the scheduling unit calls case data stored in the storage module, the scanning device is used for scanning a case report finally determined by medical staff, the structure submodule is connected with the image database, the image data stored in the image database are called and sent to the matching subunit, the matching subunit carries out medical feature labeling on the medical image according to the two case data, and an index keyword of medical features is synchronously added and stored in the storage module.
7. The multi-modality image data management system according to claim 1, wherein: the device also comprises a display module, wherein the comparison module is connected with the display module and used for receiving and displaying the distinguishing characteristics compared by the comparison module.
8. A multi-modal image data management analysis method is characterized in that: the method comprises the following steps:
step S10: taking a multi-modal image in the body of a patient, and decomposing and marking the image;
step S20: storing the formed multi-modal image data;
step S30: marking important organ parts in the body of the patient in the image data;
step S40: comparing the marked image data in the patient body with the original image data and the marked vertebra image data;
step S50: the comparison yields the difference between the image data.
9. The method of claim 8, wherein the method further comprises: also comprises the following steps:
step S60: sending the data to the inside of a display module for displaying;
step S70: after the case data of the patient is determined, the case data is scanned and matched with the image data corresponding to the patient, and the case data is indexed and stored.
10. The method of claim 9, wherein the method further comprises: in step S60, the data to be compared and distinguished is transmitted and displayed, and the medical record data of the patient is synchronously transmitted.
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