CN114067961A - Medical image filing system, method and storage medium - Google Patents
Medical image filing system, method and storage medium Download PDFInfo
- Publication number
- CN114067961A CN114067961A CN202111258354.2A CN202111258354A CN114067961A CN 114067961 A CN114067961 A CN 114067961A CN 202111258354 A CN202111258354 A CN 202111258354A CN 114067961 A CN114067961 A CN 114067961A
- Authority
- CN
- China
- Prior art keywords
- disease
- medical image
- archiving
- list
- processing device
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 35
- 201000010099 disease Diseases 0.000 claims abstract description 262
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 262
- 238000012552 review Methods 0.000 claims abstract description 4
- 230000008859 change Effects 0.000 claims description 4
- 238000002059 diagnostic imaging Methods 0.000 abstract description 8
- 238000011160 research Methods 0.000 abstract description 5
- 238000012545 processing Methods 0.000 description 129
- 238000002604 ultrasonography Methods 0.000 description 35
- 230000002452 interceptive effect Effects 0.000 description 19
- 230000008569 process Effects 0.000 description 16
- 210000001015 abdomen Anatomy 0.000 description 12
- 238000002591 computed tomography Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 9
- 210000004185 liver Anatomy 0.000 description 8
- 238000010801 machine learning Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 238000012216 screening Methods 0.000 description 6
- 230000008901 benefit Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 238000004088 simulation Methods 0.000 description 4
- 210000002216 heart Anatomy 0.000 description 3
- 238000002595 magnetic resonance imaging Methods 0.000 description 3
- 230000007170 pathology Effects 0.000 description 3
- 241001465754 Metazoa Species 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 210000004204 blood vessel Anatomy 0.000 description 2
- 238000007675 cardiac surgery Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000002440 hepatic effect Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 210000000056 organ Anatomy 0.000 description 2
- 238000002600 positron emission tomography Methods 0.000 description 2
- 238000002603 single-photon emission computed tomography Methods 0.000 description 2
- 210000000626 ureter Anatomy 0.000 description 2
- 210000004291 uterus Anatomy 0.000 description 2
- 241001327965 Clonorchis sinensis Species 0.000 description 1
- 208000009366 Echinococcosis Diseases 0.000 description 1
- 208000004930 Fatty Liver Diseases 0.000 description 1
- 208000004751 Hepatic Echinococcosis Diseases 0.000 description 1
- 206010019629 Hepatic adenoma Diseases 0.000 description 1
- 206010019646 Hepatic cyst Diseases 0.000 description 1
- 206010019695 Hepatic neoplasm Diseases 0.000 description 1
- 206010019708 Hepatic steatosis Diseases 0.000 description 1
- 208000002404 Liver Cell Adenoma Diseases 0.000 description 1
- 206010024652 Liver abscess Diseases 0.000 description 1
- 241000699670 Mus sp. Species 0.000 description 1
- 210000004100 adrenal gland Anatomy 0.000 description 1
- 230000000712 assembly Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 210000003445 biliary tract Anatomy 0.000 description 1
- 230000036772 blood pressure Effects 0.000 description 1
- 210000000038 chest Anatomy 0.000 description 1
- 208000019425 cirrhosis of liver Diseases 0.000 description 1
- 210000001072 colon Anatomy 0.000 description 1
- 238000013170 computed tomography imaging Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 210000003238 esophagus Anatomy 0.000 description 1
- 208000010706 fatty liver disease Diseases 0.000 description 1
- 230000008014 freezing Effects 0.000 description 1
- 238000007710 freezing Methods 0.000 description 1
- 210000000232 gallbladder Anatomy 0.000 description 1
- 210000001035 gastrointestinal tract Anatomy 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 201000011066 hemangioma Diseases 0.000 description 1
- 208000006750 hematuria Diseases 0.000 description 1
- 208000027701 hepatic abscess Diseases 0.000 description 1
- 201000002735 hepatocellular adenoma Diseases 0.000 description 1
- 210000003734 kidney Anatomy 0.000 description 1
- 201000007270 liver cancer Diseases 0.000 description 1
- 208000014018 liver neoplasm Diseases 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000001394 metastastic effect Effects 0.000 description 1
- 206010061289 metastatic neoplasm Diseases 0.000 description 1
- 230000000399 orthopedic effect Effects 0.000 description 1
- 210000001672 ovary Anatomy 0.000 description 1
- 210000003101 oviduct Anatomy 0.000 description 1
- 210000000496 pancreas Anatomy 0.000 description 1
- 210000005259 peripheral blood Anatomy 0.000 description 1
- 239000011886 peripheral blood Substances 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 210000000574 retroperitoneal space Anatomy 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 210000000813 small intestine Anatomy 0.000 description 1
- 210000000952 spleen Anatomy 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 231100000240 steatosis hepatitis Toxicity 0.000 description 1
- 210000002784 stomach Anatomy 0.000 description 1
- 210000000115 thoracic cavity Anatomy 0.000 description 1
- 210000001685 thyroid gland Anatomy 0.000 description 1
- 210000003437 trachea Anatomy 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 210000003932 urinary bladder Anatomy 0.000 description 1
- 230000002485 urinary effect Effects 0.000 description 1
Images
Classifications
-
- 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
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Engineering & Computer Science (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
A medical image archiving system, method, and storage medium are provided. The system may include at least an acquisition module, a storage module, and an archiving module. The acquisition module may be used to acquire a current medical image and archival instructions. The storage module can be used for storing a preset disease classification list, and the disease classification list comprises a plurality of disease classifications. The archiving module may be to archive the current medical image into a disease category in the list of disease categories based on the archiving instructions. The medical image filing system can be used for conveniently filing and collecting typical medical images by medical imaging doctors according to a preset disease classification list, and facilitates future review, sharing, scientific research and the like.
Description
Technical Field
The present application relates to the field of medical equipment technologies, and in particular, to a medical image archiving system, method, and storage medium.
Background
Medical imaging physicians often save some typical medical images for learning, sharing, scientific research, and the like. However, the current common way for medical imaging physicians is to first save the image on the medical imaging equipment and then copy it into the personal storage device. As the number of images increases, the difficulty of archiving, marking and reviewing increases, which is not conducive to physicians in improving the level of examination by reviewing their past examinations. It is therefore desirable to provide a system that facilitates medical imaging physicians to save archived representative medical images.
Disclosure of Invention
One aspect of the present application provides a medical image archiving system. The system may include at least an acquisition module, a storage module, and an archiving module. The acquisition module may be used to acquire a current medical image and archival instructions. The storage module can be used for storing a preset disease classification list, and the disease classification list comprises a plurality of disease classifications. The archiving module may be to archive the current medical image into a disease category in the list of disease categories based on the archiving instructions.
Another aspect of the present application provides a medical image archiving method. The method may include at least one of the following operations. A current medical image and archival instructions may be acquired. A preset disease category list may be obtained, the disease category list including a plurality of disease categories. The current medical image may be archived into one of the disease classifications in the list of disease classifications based on the archiving instructions.
Yet another aspect of the present application provides a computer-readable storage medium storing computer instructions, which, when read by a computer, cause the computer to perform the operations of the medical image archiving method as described above.
The medical image filing system provided by the application is convenient for doctors to file and collect typical medical images, and facilitates future review, sharing, scientific research and the like.
Additional features will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following and the accompanying drawings or may be learned by production or operation of the examples. The features of the present invention may be realized and obtained by means of the instruments and methods set forth in the detailed description below.
Drawings
The present application may be further described in terms of exemplary embodiments. The exemplary embodiments may be described in detail with reference to the accompanying drawings. The described embodiments are not limiting exemplary embodiments in which like reference numerals represent similar structures throughout the several views of the drawings and wherein:
FIG. 1 is a schematic illustration of an application scenario of a medical image archiving system according to some embodiments of the present application;
FIG. 2 is an exemplary block diagram of a medical image archiving system according to some embodiments of the present application;
FIG. 3 is an exemplary flow chart of a medical image archiving method according to some embodiments of the present application;
FIG. 4 is an exemplary flow diagram of a medical image archiving and post-archiving operational method according to some embodiments of the present application;
FIG. 5 is an exemplary flow diagram illustrating archiving of medical images based on identification of the medical images according to some embodiments of the present application;
FIG. 6 is an exemplary flow diagram illustrating archiving of a medical image based on a report related to the medical image according to some embodiments of the present application;
FIG. 7 is an exemplary flow diagram illustrating the determination of medical image collection progress and user ratings and changes thereof according to some embodiments of the present application; and
FIG. 8 is a schematic illustration of at least a portion of an interactive interface of a medical image archiving system according to some embodiments of the present application.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the application, from which the application can also be applied to other similar scenarios without inventive effort for a person skilled in the art. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
It should be understood that the terms "system," "device," "unit," "component," "module," and/or "block" as used herein are a way to distinguish different components, elements, components, sections, or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
Flow charts are used in this application to illustrate the operations performed by a system according to embodiments of the present description. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
FIG. 1 is a schematic diagram of an application scenario of an exemplary medical image archiving system according to some embodiments of the present application. As shown in fig. 1, the medical image archiving system 100 may include a medical device 110, a network 120, a terminal device 130, a processing device 140, and a storage device 150. The components of the medical image archiving system 100 may be connected in various ways. By way of example only, as shown in fig. 1, processing device 140 may be connected to medical device 110 through network 120. As another example, treatment device 140 may be directly connected to medical device 110 (as indicated by the dashed double-headed arrow connecting treatment device 140 and medical device 110). As another example, the terminal devices (e.g., 131, 132, 133, etc.) may be directly connected to the processing device 140 (as indicated by the dashed double-headed arrow connecting the terminal device 130 and the processing device 140), or may be connected to the processing device 140 via the network 120.
The medical device 110 may be used to scan a target object or portion thereof located within its examination region and generate an image relating to the target object or portion thereof. In some embodiments, the target object may include a human, an animal (e.g., other animals such as laboratory mice), a phantom, etc., or any combination thereof. In some embodiments, the target object may comprise a specific part of a human body, such as a cranium, a chest, an abdomen, a leg, etc., or any combination thereof. In some embodiments, the target object may include a specific organ, such as a heart, thyroid, esophagus, trachea, stomach, gallbladder, small intestine, colon, bladder, ureter, uterus, fallopian tube, and the like. In some embodiments, the medical device 110 may include an ultrasound device, a Computed Tomography (CT) device, a Magnetic Resonance Imaging (MRI) device, a Positron Emission Tomography (PET) device, a single-photon emission computed tomography (SPECT) device, or the like, or any combination thereof.
In some embodiments, storage device 150 may be connected to network 120 to enable communication with one or more components in medical image archiving system 100 (e.g., medical device 110, processing device 140, terminal device 130, etc.). One or more components in the medical image archiving system 100 may read data or instructions in the storage device 150 over the network 120. In some embodiments, the storage device 150 may be part of the processing device 140 or may be separate and directly or indirectly coupled to the processing device 140.
It should be noted that the above description of the medical image archiving system 100 is for illustrative purposes only and is not intended to limit the scope of the present application. It will be understood by those skilled in the art that, having the benefit of the teachings of this system, various modifications and changes in form and detail may be made to the field of application in which the above-described system is implemented without departing from such teachings. However, such changes and modifications do not depart from the scope of the present application. For example, the medical device 110, the processing device 140, and the terminal device 130 may share one storage device 150, or may have respective storage devices.
FIG. 2 is an exemplary block diagram of a medical image archiving system according to some embodiments of the present application. In some embodiments, the medical image archiving system 200 may be implemented by the processing device 140. As shown in FIG. 2, medical image archiving system 200 may include an acquisition module 210, an archiving module 220, a storage module 230, an achievement module 240, an editing module 250, a search screening module 260, a function module 270, and an identification module 280.
The acquisition module 210 may be used to acquire a current medical image and a preset disease classification list. The acquisition module 210 may also acquire archive instructions. In some embodiments, the obtaining module 210 may also obtain a user selection of a disease category of the identified one or more disease categories.
The archiving module 220 can archive the current medical image into a disease category in the list of disease categories based on the archiving instructions.
The storage module 230 may store a preset disease classification list and archived medical images.
The achievement module 240 may determine a progress of collecting medical images, a user rating, and prompt the user that the current medical image archiving is successful.
The editing module 250 may be used for marking and/or describing the medical image by the user.
The search screening module 260 may perform a search or screening according to the keyword input by the user.
The function block 270 may export medical images, share medical images, add watermarks, file encryption, patient data hiding, or cleansing.
The identification module 280 may intelligently identify the type of disease in the medical image. The identification module 280 may also perform field identification on the input report contents at the end of the process of inputting the report contents by the user and identify the disease type in the medical image according to the field identification.
It should be understood that the system and its modules shown in FIG. 2 may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the above-described methods and systems can be implemented using computer-executable instructions and/or embodied in processor control code and that the systems and modules of the present application can be implemented using hardware circuitry such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., as well as software executed by various types of processors, for example, or a combination of hardware circuitry and software (e.g., firmware).
It should be noted that the above description of the system and its modules is merely for convenience of description and should not limit the present application to the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, given the teachings of the present system, any combination of modules or sub-system configurations may be used to connect to other modules without departing from such teachings. For example, in some embodiments, the acquisition module 210 may include two units, such as a medical image acquisition unit and an archival instruction acquisition module, to acquire a medical image and archival instructions, respectively. In some embodiments, search screening module 260 may include two units, e.g., a search unit and a screening unit, to search for and screen, respectively, a particular medical image. For another example, the modules may share one storage device, and each module may have its own storage device. Such variations are within the scope of the present application.
FIG. 3 is an exemplary flow chart of a medical image archiving method according to some embodiments of the present application. In some embodiments, flow 300 may be performed by processing logic that may comprise hardware (e.g., circuitry, dedicated logic, programmable logic, microcode, etc.), software (instructions run on a processing device to perform hardware simulation), etc., or any combination thereof. In some embodiments, the process 300 may be implemented as a set of instructions (e.g., an application program) stored in the storage device 150. Processing device 140 and/or the modules in fig. 2 may execute the set of instructions and, when executing the instructions, processing device 140 and/or the modules may be configured to perform flow 300. The operations of the illustrated process presented below are intended to be illustrative. In some embodiments, flow 300 may be accomplished with one or more additional operations not described and/or without one or more of the operations discussed herein. Additionally, the order of the operations in the process as shown in FIG. 3 and described below is not intended to be limiting.
In step 310, the processing device 140 may acquire a current medical image and a preset disease classification list. In some embodiments, step 310 may be performed by acquisition module 210 in system 200.
In some embodiments, the current medical image may be a medical image that requires archiving. The medical image may be displayed on an interactive interface of a medical image archiving system. In some embodiments, the current medical image may include a static image and/or a dynamic image. In some embodiments, the current medical image may include a 2D image and/or a 3D image. In some embodiments, the current medical image may be a medical image acquired or processed by the medical device 110 in real-time. For example, the current medical image may be a medical image acquired after freezing of the live ultrasound image. In some embodiments, the current medical image may be a stored (e.g., stored by medical device 110 or storage device 150) medical image. For example, the current medical image may be one or more medical images selected from thumbnail regions displayed on the interactive interface (thumbnail regions for medical images already stored by the medical device 110 or the storage device 150). In some embodiments, the medical device may include an ultrasound device, a CT device, an MRI device, a PET device, a SPECT device, etc., or any combination thereof. For convenience of description, the present application will be described with an ultrasound apparatus as an example of a medical apparatus, which does not limit the scope of the present application. In some embodiments, the ultrasound device may include a one-dimensional ultrasound device, a two-dimensional ultrasound device, and/or a three-dimensional ultrasound device. For example, the one-dimensional ultrasound device may include a-mode ultrasound, M-mode ultrasound, D-mode ultrasound, and the like, or any combination thereof. The two-dimensional ultrasound device may include a sector-scan B-mode ultrasound device, a linear-scan B-mode ultrasound device, a convex-scan B-mode ultrasound device, or the like, or any combination thereof. The three-dimensional ultrasound device may include a stereo ultrasound device or the like. In some embodiments, the medical device 110 may be a handheld ultrasound device.
In some embodiments, the medical image to be archived may be a single type of medical image. For example, a medical image archiving system used by a physician in the ultrasound department may archive only ultrasound images, and a medical image archiving system used by a physician in the CT imaging department may archive only CT images. Physicians can file typical or atypical medical images corresponding to some epidemic diseases for later learning or teaching. In some implementations, the medical images that need to be archived may be multiple types of medical images. Medical image archiving systems, such as those used by physicians responsible for cardiac surgery, may archive various types of images, such as ultrasound images, CT images, MRI images, and the like.
In some embodiments, the processing device 140 may simultaneously acquire information related to the current medical image. The information related to the current medical image may include, but is not limited to, one or more of patient profile (name, age, physical condition, etc.), patient medical history, examination time, model of the medical device from which the current medical image was obtained, parameters of the medical device at the time the current medical image was obtained, and the like.
In some embodiments, the preset disease classification list may be a list in which a plurality of disease types are grouped and classified according to the physiological structure of the examination subject and the examination type. The preset disease category list may be retrieved from the storage module 230 or the storage device 150 and displayed on the interactive interface of the medical image archiving system. In some embodiments, the preset disease classification list may be determined according to the type of the medical device 110. For example, when the medical device 110 is an ultrasound device, the preset disease classification list may include obstetrical departments, and when the medical device 110 is a CT, the preset disease classification list may not include obstetrical departments. In some embodiments, the preset disease classification list may be determined according to the professional direction of the user. For example, when the user is responsible for cardiac surgery, the preset disease classification may be for the heart and large blood vessels; when the user is responsible for orthopedics, the preset disease classification may be about musculoskeletal; when the user is responsible for obstetrics and gynecology, the preset disease classification may be about ovary and uterus.
In some embodiments, the preset disease category list may be a multi-level menu, for example, may be a three-level menu.
The multi-level menu form of the preset disease classification list may include, but is not limited to, a hierarchical menu, a tree, an accordion, a graphic, and the like. In some embodiments, the primary menu of the pre-set disease classification list may be the primary examination item, such as heart/large blood vessel, abdomen, peripheral blood vessel, gynecology, obstetrics, small organ, urinary system, musculoskeletal, craniocerebral, thoracic and digestive tract, etc. The second-level menu of the preset disease classification list may be a specific examination site, and for example, a specific examination site of the liver, biliary tract, spleen, pancreas, kidney, ureter, retroperitoneal space, adrenal gland, and the like may be included in the examination items of the abdomen.
The third menu of the preset disease classification list may be a specific disease type, for example, when the specific examination site is a liver, the specific disease type may include disease types such as primary liver cancer, metastatic liver tumor, hepatic hemangioma, hepatic cyst, hepatic abscess, hepatic echinococcosis, hepatocellular adenoma, fatty liver, liver cirrhosis, clonorchis sinensis, hepatic hematuria, and congestive liver. In some embodiments, disease categories may be added, deleted, and modified according to the latest medical research or norms.
In some embodiments, the pre-set disease category list may also include detailed information related to specific disease names, including but not limited to pathology, clinical presentation, medical image features (ultrasound for example, may be ultrasound sonogram features), custom disease descriptions, and the like.
In some embodiments, the preset list of disease categories may also include temporary entries. In some embodiments, the provisional term may set the current medical image to a pending state. For example, when a medical imaging physician acquires a medical image for which it is difficult to determine the type of disease, the medical image may be temporarily filed in a temporary item. The medical imaging physician may then communicate or discuss with a more experienced medical imaging physician who may then restate the medical image after determining the type of disease in the medical image.
It should be appreciated that there is no precedence in the acquisition of the current medical image and the pre-set disease classification list by the processing device 140. In other words, the processing device 140 may acquire the current medical image first and then acquire the preset disease classification list; or a preset disease classification list can be acquired first, and then the current medical image is acquired. In some embodiments, the processing device may acquire the current medical image and the preset disease classification list simultaneously.
In step 320, the processing device 140 may retrieve archive instructions. In some embodiments, step 320 may be performed by acquisition module 210 in system 200.
The archiving instruction may be an instruction triggered by a user on an interactive interface of the medical image archiving system to archive the current medical image into a disease category of a preset list of disease categories. The processing device 140 (or the obtaining module 210) may obtain the archive instructions. In some embodiments, the user may drag the current medical image(s) into a certain disease category in a preset list of disease categories to trigger the archiving instruction. In some embodiments, the user may select the current medical image, click on the archive icon, and then click on one of a list of pre-set disease categories to be archived to trigger the archiving instruction. In some embodiments, the user may select one of a list of pre-set disease categories to be archived, and then select the current medical image to trigger the archiving instructions.
In step 330, the processing device 140 may archive the current medical image into one of the disease classifications in the disease classification list based on the archiving instructions. In some embodiments, step 330 may be performed by archiving module 220 in system 200.
Upon acquiring the archiving instructions, the processing device 140 may associate the current medical image with a certain disease category to be archived. When the user clicks or searches one of the disease categories, the current medical image and the related information thereof can be retrieved and displayed. In some embodiments, the processing device 140 may create an indexed relationship between the current medical image and one of the disease classifications described above. In some embodiments, the processing device 140 may create a pointer between the current medical image and one of the disease classifications described above. In some embodiments, the processing device 140 may add a label to the current medical image, and the label content may be the name of a certain disease category as described above.
FIG. 4 is an exemplary flow chart of a medical image archiving and post-archiving operational method according to some embodiments of the present application. In some embodiments, flow 400 may be performed by processing logic that may comprise hardware (e.g., circuitry, dedicated logic, programmable logic, microcode, etc.), software (instructions run on a processing device to perform hardware simulation), etc., or any combination thereof. In some embodiments, the flow 400 may be implemented as a set of instructions (e.g., an application program) stored in the storage device 150. Processing device 140 and/or the modules in fig. 2 may execute the set of instructions and, when executing the instructions, processing device 140 and/or the modules may be configured to perform flow 400. The operations of the illustrated process presented below are intended to be illustrative. In some embodiments, flow 400 may be accomplished with one or more additional operations not described and/or without one or more of the operations discussed herein. Additionally, the order of the operations in the process as shown in FIG. 4 and described below is not intended to be limiting.
In step 410, the processing device 140 may acquire a current medical image. In some embodiments, step 410 may be performed by acquisition module 210 in system 200.
In some embodiments, the current medical image may be a medical image that needs to be archived, which may be displayed on an interactive interface of a medical image archiving system. In some embodiments, the processing device 140 may simultaneously acquire information related to the current medical image. Further description of the current medical image and information related to the current medical image is found elsewhere herein, e.g., the description of 310 in fig. 3, and will not be reiterated here.
In step 420, the processing device 140 may select a disease category or a newly created disease category. In some embodiments, step 420 may be performed by acquisition module 210 in system 200.
In some embodiments, the processing device 140 may obtain a disease category selected by the user from a preset list of disease categories. In some embodiments, the processing device 140 may obtain the newly created disease classification for the user. The processing device 140 may add the newly created disease category to a preset disease category list. In some embodiments, the user may trigger the archiving instructions upon selecting the disease category or creating a new disease category.
In step 430, the processing device 140 may archive the current medical image into the one disease category or the newly created disease category. In some embodiments, step 430 may be performed by archiving module 220 in system 200.
The processing device 140 may associate the current medical image with a certain disease category to be archived. When the user clicks or searches one of the disease categories, the current medical image and the related information thereof can be retrieved and displayed.
In step 440, the processing device 140 may mark and/or describe the current medical image. In some embodiments, step 440 may be performed by editing module 250 in system 200.
In some embodiments, the user may mark the current medical image on the interactive interface of the medical image archiving system through the processing device 140 (which may also be the editing module 250). For example, the image portions of the current medical image used to determine the disease classification and severity of the disease may be labeled. As another example, image portions of other disease classifications contained in the current medical image may be labeled. In some embodiments, the user may describe the current medical image on an interactive interface of the medical image archiving system through the processing device 140 (which may also be the editing module 250). For example, the description may be made with respect to the above tag portion, and the description may be some judgment basis and image features. As another example, key scan parameters for a current medical image may be described. As another example, the description may be for the entirety of the current medical image, and the description may be an operation step to be improved or focused on for the medical image of such a disease. In some embodiments, the user may modify, delete, and add markings and descriptions of medical images saved in the medical image archiving system via the processing device 140 (which may also be the editing module 250).
In step 450, the processing device 140 may prompt the user that the current medical image archiving is successful. In some embodiments, step 450 may be performed by the achievement module 240 in the system 200.
The processing device 140 may prompt the user that the current medical image has been successfully archived after archiving the current medical image to one of the disease classifications mentioned above. The alert means includes, but is not limited to, one or more of a sound, a color change, a text size change, an icon, and the like. In some embodiments, the medical image archiving system may issue a "successful archiving" or "successful collection" voice and/or text prompt after the current medical image is successfully archived to one of the disease classifications. In some embodiments, the name of the disease category changes in color, for example from black to red, after the current medical image is successfully archived. In some embodiments, after the current medical image is successfully filed into the certain disease category, the size of the text of the name of the certain disease category is changed, for example, two font sizes are increased. In some embodiments, after the current medical image is successfully filed into the certain disease category, the icon of the name of the certain disease category changes, for example, one or more stars may appear around the name, or a frame may be added around the name.
In step 460, the processing device 140 may derive a medical image in a medical image archiving system. In some embodiments, step 460 may be performed by functional module 270 in system 200.
In some embodiments, the processing device 140 may derive the medical image according to user instructions. The processing device 140 may export the medical images individually or in batches. In some embodiments, the processing device 140 may derive the medical image and the information related to the medical image simultaneously according to user instructions. The information related to the medical image may include, but is not limited to, one or more of patient profile (name, age, physical condition, etc.), patient medical history, examination time, model of the medical device from which the current medical image was obtained, parameters of the medical device at the time the current medical image was obtained, indicia and description of the medical image, and the like.
In step 470, the processing device 140 may search and filter for a particular medical image according to the user instructions. In some embodiments, step 470 may be performed by search screening module 260 in system 200.
In some embodiments, the processing device 140 may receive one or more keywords entered by a user on an interactive interface of the medical image archiving system and search and filter based on the keywords. The keyword may be one or more of an examination item, an examination part, a full name or abbreviation of a disease category, a patient name or number, a medical device model, an operator name, examination time, description information on a medical image, and the like. In some embodiments, the processing device 140 may receive an item in the list of disease categories (including examination site, examination item, disease name) clicked by the user on the interactive interface of the medical image archiving system and display information under this item.
In step 480, the processing device 140 may share the medical image in the medical image archiving system. In some embodiments, step 480 may be performed by functional module 270 in system 200.
In some embodiments, the processing device 140 may share the medical image to a particular object, such as a device, group, individual, according to user instructions. The processing device 140 may share medical images individually or in batches. In some embodiments, the processing device 140 may simultaneously share the medical image and the information related to the medical image according to user instructions. In some embodiments, the user needs to log into a personal account before the medical image can be shared.
It should be noted that the above description is merely for convenience and should not be taken as limiting the scope of the present application. It will be understood by those skilled in the art that, having the benefit of the teachings of this system, various modifications and changes in form and detail may be made to the field of application for which the method and system described above may be practiced without departing from this teachings. For example, steps 460, 470 and 480 may operate independently, without the other steps. As another example, step 440 may operate after step 410 and before step 420. As another example, step 450 may be omitted.
FIG. 5 is an exemplary flow chart illustrating archiving of medical images based on identification of the medical images according to some embodiments of the present application. In some embodiments, flow 500 may be performed by processing logic. In some embodiments, flow 500 may be implemented as a set of instructions (e.g., an application program) stored in storage device 150. Processing device 140 and/or the modules in fig. 2 may execute the set of instructions and, when executing the instructions, processing device 140 and/or the modules may be configured to perform flow 500. In some embodiments, flow 500 may be accomplished with one or more additional operations not described and/or without one or more of the operations discussed herein. Additionally, the order of the operations in the process as shown in FIG. 5 and described below is not intended to be limiting.
In step 510, the processing device 140 may acquire a current medical image. In some embodiments, step 510 may be performed by acquisition module 210 in system 200.
In some embodiments, the current medical image may be a medical image for archiving, which may be displayed on an interactive interface of a medical image archiving system. In some embodiments, the processing device 140 may simultaneously acquire information related to the current medical image. Further description of the current medical image and information related to the current medical image is found elsewhere herein, e.g., the description of 310 in fig. 3, and will not be reiterated here.
In step 520, the processing device 140 may identify one or more disease classifications in the current medical image. In some embodiments, step 520 may be performed by the identification module 280 in the system 200.
In some embodiments, the processing device 140 may identify one or more disease classifications in the current medical image by a disease diagnostic model. The disease diagnosis model may be a machine learning model. The input of the machine learning model includes classification of a disease diagnosed by a doctor and an image on which the disease is diagnosed and various related information, etc. In some embodiments, the input to the machine learning model may comprise a single type of medical image, for example only ultrasound images or CT images. In some embodiments, the input to the machine learning model may include multiple types of medical images, for example including both ultrasound and CT images. In some embodiments, the inputs to the machine learning model may also include one or more of a description of the medical images (e.g., ultrasound findings and ultrasound cues), personal data of the patient (lifestyle habits, residence, etc.), past medical history, blood pressure, electrocardiogram, and the like. The processing device 140 may input the current medical image (which may also include other medical images, examination data, patient profile) to the machine learning model. The machine learning model may output one or more disease classifications.
In some embodiments, the processing device 140 may share the current medical image (which may also include relevant information) with other users, who may determine one or more disease classifications based on the current medical image (which may also include relevant information) and send the determined one or more disease classifications to the current user.
In step 530, the processing device 140 may receive a selection of a disease classification of the one or more diseases. In some embodiments, step 530 may be performed by acquisition module 210 in system 200.
In some embodiments, the processing device 140, upon identifying one or more disease classifications in the current medical image, may display the one or more disease classifications on an interactive interface of the medical image archiving system. The processing device 140 may receive one of the disease classifications selected by the user. In some embodiments, when the processing device 140 identifies only one disease category, the processing device 140 may archive the current medical image directly into the identified one disease category without receiving a user selection. In some embodiments, the user may not select one or more disease categories identified by the processing device 140, and may select other disease categories or temporary items in a pre-set list of disease categories.
In step 540, the processing device 140 may archive the current medical image into a disease category in a disease category list. In some embodiments, step 540 may be performed by archiving module 220 in system 200.
In some embodiments, the processing device 140 may archive the current medical image into one of the identified one or more disease classifications selected by the user. In some embodiments, the processing device 140 may archive the current medical image to other disease categories or temporary items selected by the user in a preset list of disease categories.
FIG. 6 is an exemplary flow diagram illustrating archiving of medical images based on reports related to the medical images according to some embodiments of the present application. In some embodiments, flow 600 may be performed by processing logic that may comprise hardware (e.g., circuitry, dedicated logic, programmable logic, microcode, etc.), software (instructions run on a processing device to perform hardware simulation), etc., or any combination thereof. In some embodiments, flow 600 may be implemented as a set of instructions (e.g., an application program) stored in storage device 150. Processing device 140 and/or the modules in fig. 2 may execute the set of instructions and, when executing the instructions, processing device 140 and/or the modules may be configured to perform flow 600. The operations of the illustrated process presented below are intended to be illustrative. In some embodiments, flow 600 may be accomplished with one or more additional operations not described and/or without one or more of the operations discussed herein. Additionally, the order of the operations in the process as shown in FIG. 6 and described below is not intended to be limiting.
In step 610, the processing device 140 may acquire a current medical image. In some embodiments, step 610 may be performed by acquisition module 210 in system 200.
In some embodiments, the current medical image may be a medical image for archiving that may be displayed on an interactive interface that generates a medical report. In some embodiments, the processing device 140 may simultaneously acquire information related to the current medical image. The information related to the current medical image may include, but is not limited to, one or more of patient profile (name, age, physical condition, etc.), past medical history, examination time, model of the medical device from which the current medical image was obtained, parameters of the medical device at the time the current medical image was obtained, and the like. In some embodiments, more description of the current medical image and information related to the current medical image is found elsewhere herein, e.g., the description of 310 in fig. 3, and will not be reiterated herein.
In step 620, the processing device 140 may obtain a report related to the current medical image. In some embodiments, step 620 may be performed by acquisition module 210 in system 200.
The report related to the current medical image may include a description of the current medical image and the examination site entered by the physician based on the current medical image. For example, the description of the ultrasound image may include ultrasound findings and ultrasound cues.
In some embodiments, the medical image archiving system and the medical report generating system may interact with each other. In some embodiments, the medical image archiving system and the medical report generating system may be integrated into one system, and the medical image archiving system and the medical report generating system may correspond to different interactive interfaces.
In step 630, the processing device 140 may perform field identification on the report. In some embodiments, step 630 may be performed by identification module 280 in system 200. The processing device 140 may perform field recognition on the report in real time while the physician enters the report or after the end of entering the report.
The processing device 140 may match the fields in the identified report regarding the current medical image and the examination site with detailed information of the disease in a pre-set disease classification list. The pre-set disease category list may include detailed information related to specific disease names, including but not limited to pathology, clinical presentation, medical image features (ultrasound for example, may be ultrasound sonogram features), and custom disease descriptions.
In step 640, the processing device 140 may identify a disease classification contained in the current medical image based on the field identification. In some embodiments, step 640 may be performed by identification module 280 in system 200.
The processing device 140 may determine a disease classification contained in the current medical image based on the matching result. When the matching result of the fields related to the current medical image and the examination part in the identified report and one or more diseases in the preset disease classification list is higher than a preset threshold value, one or more disease classifications contained in the current medical image can be determined. In some embodiments, the determined list of one or more disease categories may be displayed on an interface of the medical report generation system. In some embodiments, the determined list of one or more disease categories may be displayed on an interface of a medical image archiving system. When the matching results of the fields related to the current medical image and the examination part in the identified report and one or more diseases in the preset disease classification list are all lower than a preset threshold value, the fact that the disease type is not identified can be prompted or no prompt is made.
In some embodiments, when the determined one or more disease category lists are displayed on an interface of the medical report generation system, the interface may simultaneously prompt the user whether to archive the corresponding medical images to the determined one or more disease category lists, other disease categories, or not. In some embodiments, the user may click or double click on one of the disease categories in the list of one or more disease categories displayed on the interface of the medical report generation system, and the processing device 140 may archive the medical image in the one disease category clicked by the user. In some embodiments, the user may select to archive into other disease categories, and the processing device, in response to the user selection, may cause the current interface to display a list of preset disease categories for selection by the user, or may jump from the interface of the current medical report generation system to a medical image archiving interface containing a list of preset disease categories. The processing device 140 may archive the medical image based on a user selection of a certain disease category of the preset list of disease categories. The selection may include a user's selection of a click on a disease category or a drag on a medical image. In some embodiments, the user may choose not to perform the archiving operation, and the prompt is no longer displayed on the interface.
In some embodiments, when the determined one or more disease classifications are displayed on an interface of the medical image archiving system, the interface may simultaneously prompt the user whether to archive the corresponding medical image to the determined one or more disease classification lists, other disease classifications, or not. The processing device 140 may receive one of the disease classifications selected by the user. In some embodiments, the user may not select one or more disease categories identified by the processing device 140, and may select other disease categories or temporary items in a pre-set list of disease categories. In some embodiments, the user may opt not to archive the current medical image without selecting one or more disease classifications identified by the processing device 140.
In some embodiments, the user may turn on or off the functions of field recognition of the report, automatic prompt for recognized disease classification, prompt for archiving of medical images. In some embodiments, the user may manually select the disease category that prompts identification, after the user may turn on the functions of field identification and disease category identification for the report in the background.
In step 650, the processing device 140 may archive the current medical image into a disease category in a disease category list. In some embodiments, step 650 may be performed by archiving module 220 in system 200.
In some embodiments, the processing device 140 may archive the current medical image into one of the identified one or more disease classifications selected by the user. In some embodiments, the processing device 140 may archive the current medical image to other disease categories or temporary items selected by the user in a preset list of disease categories.
FIG. 7 is an exemplary flow diagram illustrating archiving of medical images based on reports related to the medical images according to some embodiments of the present application. In some embodiments, flow 700 may be performed by processing logic that may comprise hardware (e.g., circuitry, dedicated logic, programmable logic, microcode, etc.), software (instructions run on a processing device to perform hardware simulation), etc., or any combination thereof. In some embodiments, flow 700 may be implemented as a set of instructions (e.g., an application program) stored in storage device 150. Processing device 140 and/or the modules in fig. 2 may execute the set of instructions and, when executing the instructions, processing device 140 and/or the modules may be configured to perform flow 700. The operations of the illustrated process presented below are intended to be illustrative. In some embodiments, flow 700 may be accomplished with one or more additional operations not described and/or without one or more of the operations discussed herein. Additionally, the order of the operations in the process as shown in FIG. 7 and described below is not intended to be limiting.
In step 710, the processing device 140 may obtain one or more of a total number of archived medical images for the medical image archiving system, a number of archived medical images under a certain level of the disease menu, and a number of archived medical images in one or more disease classifications. In some embodiments, step 710 may be performed by the achievement module 240 in the system 200.
The total number of archived medical images of the medical image archiving system may be the number of all medical images under the current user account. The current user account may be a personally registered account or an account registered with a certain medical device.
The number of archived medical images under a certain level of the disease menu may be the number of all medical images under a certain level of the disease menu under the current user account. In some embodiments, the number of archived medical images under a certain level of the disease menu may be the number of all medical images under a certain examination item (e.g., a level of the menu abdomen). In some embodiments, the number of archived medical images under a certain level of the disease menu may be the number of all medical images under a certain specific examination site (e.g., a second level menu liver).
The number of archived medical images in the one or more disease classifications may be the number of all medical images under each of the one or more disease classifications. In some embodiments, different degrees of pathology or different image characteristics may exist for a disease classification, and thus multiple medical images may be included in a disease classification. In some embodiments, a disease classification may include a plurality of different types of medical images, such as CT images, nuclear magnetic images, and ultrasound images.
In step 720, the processing device 140 may determine a progress of collecting medical images based on one or more of a total number of archived medical images of the medical image archiving system, a number of archived medical images under a certain level of the disease menu, and a number of archived medical images in one or more disease categories. In some embodiments, step 720 may be performed by the achievement module 240 in the system 200. Progress may be displayed in a progress bar and/or percentage.
In some embodiments, the processing device 140 may determine the overall collection progress based on the number of archived medical images in each disease category of the medical image archiving system and the total number of disease categories in the preset list of disease categories. For example, the processing device 140 may determine the number of disease classifications for the existing archived medical images and the total number of disease classifications in the preset list of disease classifications, and the total collection progress a may be a percentage of the number of disease classifications for the existing archived medical images in the total number of disease classifications in the preset list of disease classifications. In some embodiments, the processing device 140 may determine the overall collection progress based on the total number of archived medical images of the medical image archiving system and the total number of disease classifications in the preset list of disease classifications. For example, the total collection progress B may be the total number of archived medical images/(total number of disease classifications in the preset list of disease classifications — coefficient n), and the coefficient n may be a real number of 1.5, 2, 2.2, 2.5, 3, etc. In some embodiments, the processing device 140 may determine the overall collection progress based on the total number of archived medical images of the medical image archiving system, the number of archived medical images in each disease category, and the total number of disease categories in the preset list of disease categories. For example, the total collection progress C may be a weighted average of the total collection progress a and the total collection progress B.
In some embodiments, the processing device 140 may determine the collection progress under a certain disease menu according to the number of archived medical images in each disease category under the certain disease menu of the medical image archiving system and the number of disease categories under the certain disease menu in the preset disease category list. For example, the collection progress D of the one-level menu examination item abdomen may be a percentage of the number of disease classifications of the existing archived medical images under the examination item abdomen in the preset disease classification list. In some embodiments, the processing device 140 may determine the collection progress under a certain disease menu according to the number of archived medical images under the certain disease menu of the medical image archiving system and the number of disease classifications under the certain disease menu in the preset disease classification list. For example, the collection progress E of the abdomen of the one-level menu examination item may be the number of archived medical images under the abdomen of the examination item/(the number of disease classifications under the abdomen of the examination item in the preset disease classification list — coefficient m), and the coefficient m may be a real number such as 1.5, 2, 2.2, 2.5, 3, and the like. In some embodiments, the processing device 140 may determine the collection progress under a certain disease menu according to the number of archived medical images under a certain disease menu of the medical image archiving system, the number of archived medical images in each disease category under the certain disease menu, and the number of disease categories under the certain disease menu in the preset disease category list. For example, the collection progress F of the abdomen of the one-level menu check-up project may be a weighted average of the collection progresses D and E of the abdomen of the one-level menu check-up project.
In some embodiments, the processing device 140 may determine the progress of the collection of a certain disease category based on the number of archived medical images in the certain disease category. For example, if the number of archived medical images in a disease category is 1, the collection progress of the disease category may be 40%, the number of archived medical images may be 2, and the collection progress may be 70%. For another example, if the number of archived medical images in a disease category is 1, the collection progress of the disease category may be 100%.
In step 730, the processing device 140 may determine a user level or a change in user level of the system based on the progress of the collecting medical images. In some embodiments, step 730 may be performed by the achievement module 240 in the system 200.
The user grade may be a plurality of grade numbers and/or grade designations determined from a plurality of schedules of collecting medical images. For example, when the medical image collection progress of the liver reaches 50%, the title of "liver map expert" is obtained, and when the collection degree reaches 80%, the title of "liver map master" is obtained, and the like.
In some embodiments, the processing device 140 may share the collection progress and/or rating of multiple accounts. The collection progress may include a total collection progress, a collection progress under a certain level of a disease menu, and a collection progress for a certain disease category. In some embodiments, the processing device 140 may display the total ranking among all accounts, and may also display the ranking among friend accounts. In some embodiments, the physician may issue a communication request to the top-ranked account number via the medical image archiving system based on the ranking information. In some embodiments, the physician may communicate outside the medical image archiving system by obtaining the contact details of the top-ranked account number via the medical image archiving system.
FIG. 8 is a schematic illustration of at least a portion of an interactive interface of a medical image archiving system according to some embodiments of the present application. The interactive interface of the medical image archiving system in fig. 8 includes a search box 810, a preset disease category list 820, disease category names 830, medical images 840, a total collection progress 851, an acquisition progress of the abdomen of the examination item and a collection progress 852 of the liver of a specific examination section and a functional area 860. The functional area 860 may include functions of export, share, overview, encryption, watermarking, and the like. Under the overview function, the user can view the number of medical images archived, the progress of each collection, the medical images, and the like. The user can use a dragging or clicking mode to file the medical image 840 on the interactive interface into a certain disease classification in the preset disease classification list 820.
The beneficial effects that may be brought by the embodiments of the present application include, but are not limited to: (1) the application provides a medical image filing system which is convenient for doctors to file and collect typical medical images and is beneficial to review, share, scientific research and the like in the future; (2) the collection progress prompt, the grade, the title and the like are introduced into the medical image filing system, so that a user can quickly know the filing condition and can be promoted to file medical images; (3) the intelligent recognition of the disease classification and the recognition of the disease classification prompt filing during or after the report input process can make the filing process of the user faster. It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing disclosure is by way of example only, and is not intended to limit the present application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.
Also, this application uses specific language to describe embodiments of the application. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.
Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to only those embodiments explicitly described and depicted herein.
Claims (10)
1. A medical image archiving system, characterized in that the system comprises:
the acquisition module is used for acquiring a current medical image and an archiving instruction;
the storage module is used for storing a preset disease classification list, and the disease classification list comprises a plurality of disease classifications; and
an archiving module to archive the current medical image into a disease category in the disease category list based on the archiving instructions.
2. The system of claim 1, wherein the system comprises an archiving interface;
the archiving interface comprises the preset disease classification list and the current medical image;
the acquisition module is used for acquiring an archiving instruction generated based on the operation of a user on the preset disease classification list and the current medical image in the archiving interface;
the archiving interface further includes a share button and/or a review button;
the archiving interface also includes an archiving progress and/or a user rating for the medical image.
3. The system of claim 1, wherein said selecting a disease category in said list of disease categories comprises:
selecting the disease category from the list of disease categories based on a report related to the current medical image.
4. The system of claim 1, wherein said selecting a disease category in said list of disease categories further comprises:
identifying one or more disease classifications in the current medical image, a disease classification in the list of disease classifications including the one or more disease classifications;
selecting the disease category from the list of disease categories based on the identified one or more disease categories.
5. The system of claim 1, further comprising an achievement module, the storage module further comprising a multi-level disease menu,
the achievement module is to determine a progress in collecting medical images based on one or more of a total number of archived medical images in the system, a number of archived medical images under a certain level of a disease menu, and a number of archived medical images in one or more disease categories.
6. The system of claim 5, wherein the achievement module is further configured to determine a user level or a change in a user level of the system based on the progress of the collecting medical images.
7. The system of claim 5, wherein the achievement module is further configured to prompt a user that the archiving of the current medical image is successful when the current medical image has been archived into one of the disease classifications in the list of disease classifications.
8. The system of any one of claims 1-7, wherein the system is used for personal collection and archiving of a single type of medical image.
9. A system for medical image archiving, the method comprising:
acquiring a current medical image and a preset disease classification list, wherein the disease classification list comprises a plurality of disease classifications;
acquiring an archiving instruction; and
archiving the current medical image into a disease category in the list of disease categories based on the archiving instructions.
10. A computer-readable storage medium storing computer instructions which, when read by a computer, cause the computer to perform the method of claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111258354.2A CN114067961A (en) | 2021-10-27 | 2021-10-27 | Medical image filing system, method and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111258354.2A CN114067961A (en) | 2021-10-27 | 2021-10-27 | Medical image filing system, method and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114067961A true CN114067961A (en) | 2022-02-18 |
Family
ID=80236338
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111258354.2A Pending CN114067961A (en) | 2021-10-27 | 2021-10-27 | Medical image filing system, method and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114067961A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090125555A1 (en) * | 2007-11-14 | 2009-05-14 | General Electric Company | Method and apparatus for flexible archiving |
| US20160217347A1 (en) * | 2015-01-28 | 2016-07-28 | Casio Computer Co., Ltd. | Medical image classification system, medical image classification method, and medical image classification apparatus |
| CN106776953A (en) * | 2016-12-04 | 2017-05-31 | 国云科技股份有限公司 | A kind of implementation method of online file cloud storage system |
| CN111126952A (en) * | 2019-12-16 | 2020-05-08 | 深圳供电局有限公司 | Electronic file filing processing system and method |
| CN112052749A (en) * | 2020-08-20 | 2020-12-08 | 中国建设银行股份有限公司 | Archive filing method and device, electronic equipment and computer readable storage medium |
| CN112074827A (en) * | 2018-04-27 | 2020-12-11 | 上海趋视信息科技有限公司 | System and method for image archiving |
| CN112559533A (en) * | 2020-12-23 | 2021-03-26 | 杭州趣链科技有限公司 | Continuous database filing method and device and electronic equipment |
| CN113192605A (en) * | 2021-04-13 | 2021-07-30 | 复旦大学附属中山医院 | Medical image classification method, medical image retrieval method and medical image retrieval device |
-
2021
- 2021-10-27 CN CN202111258354.2A patent/CN114067961A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090125555A1 (en) * | 2007-11-14 | 2009-05-14 | General Electric Company | Method and apparatus for flexible archiving |
| US20160217347A1 (en) * | 2015-01-28 | 2016-07-28 | Casio Computer Co., Ltd. | Medical image classification system, medical image classification method, and medical image classification apparatus |
| CN106776953A (en) * | 2016-12-04 | 2017-05-31 | 国云科技股份有限公司 | A kind of implementation method of online file cloud storage system |
| CN112074827A (en) * | 2018-04-27 | 2020-12-11 | 上海趋视信息科技有限公司 | System and method for image archiving |
| CN111126952A (en) * | 2019-12-16 | 2020-05-08 | 深圳供电局有限公司 | Electronic file filing processing system and method |
| CN112052749A (en) * | 2020-08-20 | 2020-12-08 | 中国建设银行股份有限公司 | Archive filing method and device, electronic equipment and computer readable storage medium |
| CN112559533A (en) * | 2020-12-23 | 2021-03-26 | 杭州趣链科技有限公司 | Continuous database filing method and device and electronic equipment |
| CN113192605A (en) * | 2021-04-13 | 2021-07-30 | 复旦大学附属中山医院 | Medical image classification method, medical image retrieval method and medical image retrieval device |
Non-Patent Citations (1)
| Title |
|---|
| 胡顺东;付春林;龚承友;庄奇新;: "基于RIS/PACS系统建立数据集成和挖掘平台在影像教学、科研系统中的研究与应用", 上海医学影像, no. 04, 28 December 2012 (2012-12-28), pages 307 - 310 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20220199230A1 (en) | Context driven summary view of radiology findings | |
| US20190220978A1 (en) | Method for integrating image analysis, longitudinal tracking of a region of interest and updating of a knowledge representation | |
| US9014485B2 (en) | Image reporting method | |
| US8625867B2 (en) | Medical image display apparatus, method, and program | |
| US8369585B2 (en) | Automatic classification of information in images | |
| US7130457B2 (en) | Systems and graphical user interface for analyzing body images | |
| JP5383431B2 (en) | Information processing apparatus, information processing method, and program | |
| JP6081126B2 (en) | Medical image processing apparatus, diagnostic imaging apparatus, computer system, medical image processing program, and medical image processing method | |
| US20060277073A1 (en) | Atlas reporting | |
| JP2019153250A (en) | Device, method, and program for supporting preparation of medical document | |
| US8934687B2 (en) | Image processing device, method and program including processing of tomographic images | |
| JP2003506797A (en) | Methods and systems for generating reports | |
| JP2005510326A (en) | Image report creation method and system | |
| US20120278105A1 (en) | Protocol guided imaging procedure | |
| WO2011066222A1 (en) | User interface for providing clinical applications and associated data sets based on image data | |
| CN115830017B (en) | Tumor detection system, method, equipment and medium based on image-text multi-mode fusion | |
| JP7000206B2 (en) | Medical image processing equipment, medical image processing methods, and medical image processing programs | |
| JP2007037781A (en) | Image processor and image processing system | |
| JP2014039852A (en) | Information processor, information processing method and program | |
| US20190005354A1 (en) | Learning data generation support apparatus, operation method of learning data generation support apparatus, and learning data generation support program | |
| CN111583249A (en) | Medical image quality monitoring system and method | |
| US20230005580A1 (en) | Document creation support apparatus, method, and program | |
| WO2022215530A1 (en) | Medical image device, medical image method, and medical image program | |
| WO2021177312A1 (en) | Device, method, and program for storing information, and device, method, and program for generating analysis records | |
| WO2021107098A1 (en) | Document creation assistance device, document creation assistance method, and document creation assistance program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |