CN111341430A - Medical image acquisition management system - Google Patents
Medical image acquisition management system Download PDFInfo
- Publication number
- CN111341430A CN111341430A CN202010113946.4A CN202010113946A CN111341430A CN 111341430 A CN111341430 A CN 111341430A CN 202010113946 A CN202010113946 A CN 202010113946A CN 111341430 A CN111341430 A CN 111341430A
- Authority
- CN
- China
- Prior art keywords
- patient
- contrast agent
- image acquisition
- value
- preset
- 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
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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/40—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Business, Economics & Management (AREA)
- Biomedical Technology (AREA)
- General Business, Economics & Management (AREA)
- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
The invention discloses a medical image acquisition management system, which adopts the technical scheme that the medical image acquisition management system comprises an information editing module, a primary distribution module, an adjustment module and a contrast agent usage module, wherein the information editing module is used for inputting patient information, the primary distribution module is used for automatically recommending an image acquisition process of a patient, the adjustment module is used for manually adjusting the image acquisition process of the patient, the contrast agent usage module is used for acquiring all patient information tables of the patient within a preset acquisition duration, and calculating a contrast agent theoretical usage value required by the patient by taking the age of the patient, the weight of the patient, an image acquisition part and image acquisition equipment as variables through a preset contrast agent theoretical algorithm. The management system can perform differentiated management aiming at different situations of different patients.
Description
Technical Field
The invention relates to the field of medical information management, in particular to a medical image acquisition management system.
Background
Radiography (i.e., radiography) is a method for medical image acquisition and management system to display the internal body and function information of human body in image mode by means of DR (i.e., X-ray), CT examination and nuclear magnetic resonance technology, etc. to assist doctor in diagnosing and treating diseases.
The images acquired by shooting have an important role in judging the state of illness of doctors, so that the shooting is widely applied to hospitals, and shooting equipment is arranged in each hospital. However, since a series of operation steps such as preliminary diagnosis, registration preparation before radiography, getting a report, etc. are required in the radiography process of a patient, and the patient needs to perform the above operations in different places, hospitals are usually equipped with a system for managing the patient to be radiographed, so that medical staff can know the condition of the patient in time when the patient is performing operations in different places of the hospital.
However, different patients have different situations, for example, during the shooting process, due to different parts of the patient needing shooting and different equipment adopted by the shooting, one or more procedures such as shooting preparation, shooting and image post-processing need to be performed, and the amount of the contrast agent taken by the patient before shooting is different according to the age of the patient and other factors. The existing management system carries out unified management on all patients needing to take photos according to the schedule, only attaches importance to convenient transmission of patient information and improves the efficiency of patient seeing a doctor, is difficult to carry out differentiated management on different patients, and is not humanized enough.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a medical image acquisition management system which can perform differentiated management aiming at different conditions of different patients.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a medical image acquisition management system, includes the information editing module, the information editing module is used for entering patient's information which characterized in that: the system comprises a patient monitoring system, and is characterized by further comprising a preliminary distribution module, an adjustment module and a contrast agent dosage module, wherein the preliminary distribution module is used for automatically recommending an image acquisition process of the patient, the adjustment module is used for manually adjusting the image acquisition process of the patient, and the contrast agent dosage module is used for calculating the dosage of a contrast agent which needs to be taken by the patient;
the information editing module is configured with a patient information base and an information input strategy, the information input strategy comprises personal information which responds to a user instruction and is input into a patient to generate a patient information table, the personal information comprises a patient name, a patient identity card number, a patient age, a patient weight, an image acquisition part and image acquisition equipment, and the patient information table is stored in the patient information base;
the preliminary distribution module is configured with a flow library and a flow distribution strategy, the flow library is configured with a plurality of flow tables, the image acquisition flow in each flow table is different and corresponds to different types of patients, the flow distribution strategy comprises extracting the patient information table, and matching the corresponding flow table for the patients by taking the image acquisition part and the image acquisition equipment as variables through a preset flow configuration algorithm;
the adjusting module comprises a flow adjusting strategy, and the flow adjusting strategy comprises a new flow table selected in the flow base in response to a user instruction to replace the original flow table;
the contrast agent dosage module comprises a contrast agent dosage strategy, the contrast agent dosage strategy comprises the steps of obtaining all patient information tables of the patient within the preset obtaining duration, and calculating the contrast agent theoretical dosage required by the patient by taking the age of the patient, the weight of the patient, the image collecting part and the image collecting equipment as variables through a preset contrast agent theoretical algorithm.
As a further improvement of the present invention, the contrast agent theory algorithm is configured to:
wherein P is a contrast agent theoretical dosage value, h is a preset first basic parameter value, k is a preset first weight parameter value, s is an age parameter value of the patient, w is a weight value of the patient, and c is a selected contrast agent concentration value;
the first basic parameter value and the first weight parameter value are determined according to image acquisition equipment, the age parameter value is calculated according to a preset age parameter algorithm and the age of a patient, and the concentration value of the contrast agent is determined according to an image acquisition part.
As a further refinement of the present invention, said age parameter algorithm is configured to:
s＝d+a×sin(b×j)
wherein d is a preset second basic parameter value, a is a preset second weight parameter, b is a preset third weight parameter, and j is the age of the patient; the second base parameter value, the second weight parameter value and the third weight parameter value are all determined according to image acquisition equipment.
As a further improvement of the invention, the contrast agent dosage strategy further comprises calculating the contrast agent correction dosage value needed by the patient by using the accumulated contrast agent dosage of the patient in the acquisition time period and the contrast agent theoretical dosage value as variables through a preset contrast agent correction algorithm.
As a further refinement of the invention, the contrast agent modification algorithm is configured to:
q is a contrast agent correction dosage value, P is a contrast agent theoretical dosage value, g is a contrast agent value which is taken or injected by a patient within an acquisition time length, v is a maximum contrast agent dosage threshold value within the acquisition time length, c is a selected contrast agent concentration value, f is a minimum contrast agent dosage value which is taken or injected for realizing image acquisition, the maximum contrast agent dosage threshold value is calculated by taking the acquisition time length as a variable through a preset contrast agent threshold value algorithm, the contrast agent concentration value is determined according to an image acquisition part, and the minimum contrast agent dosage value which is taken or injected for realizing the image acquisition is determined according to the acquisition part and the contrast agent concentration value.
As a further improvement of the present invention, the maximum threshold algorithm for the amount of the contrast agent is configured to:
wherein n is a preset third basic parameter value, m is a preset fourth weighting parameter, z is a preset fifth weighting parameter, t is an acquisition duration, and c is a selected contrast agent concentration value.
As a further improvement of the invention, the adjusting module is also provided with a flow table customizing strategy, wherein the flow table customizing strategy comprises the steps of responding to a user request, generating a new flow table in the flow base, and adjusting the image acquisition flow in the flow table according to a user instruction so as to meet the user requirement.
The invention has the beneficial effects that: through the setting of the preliminary distribution module, the system can recommend different image acquisition processes according to different conditions of the patient, and the setting of the adjustment module enables medical staff to manually adjust the image acquisition processes of the patient as required. The setting of the contrast agent dosage module enables the system to calculate the dosage of the contrast agent required to be taken by the patient according to the personal condition of the patient, and the patient is prevented from excessively taking the contrast agent, so that the system realizes the differentiated management aiming at different conditions of different patients.
Drawings
FIG. 1 is a schematic diagram of the structure of the present invention;
fig. 2 is a schematic diagram of the calculation of the amount of contrast agent.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Referring to fig. 1 and 2, the medical image acquisition management system of this embodiment includes an information editing module, the information editing module is configured to enter patient information, and further includes a preliminary distribution module, an adjustment module, and a contrast agent usage module, the preliminary distribution module is configured to automatically recommend an image acquisition procedure of a patient, the adjustment module is configured to manually adjust the image acquisition procedure of the patient, and the contrast agent usage module is configured to calculate an amount of a contrast agent that the patient needs to take.
When medical staff determine that images need to be acquired at the patient position of the patient, information of the patient is input into the system through the information editing module, and the preliminary distribution module automatically recommends the flow chart to the patient according to the information of the patient. The medical staff can replace the flow sheet, and when the medical staff feels that the flow sheet recommended by the system is not the most suitable flow sheet for the patient, the medical staff can manually select the flow sheet from the flow library to replace the flow sheet recommended by the system. Before the patient acquires images, the patient needs to take contrast medium, however, the contrast medium is taken too much, side effects are caused, and the contrast medium dosage module calculates the dosage of the contrast medium needed to be taken by the patient according to the information of the patient.
The information editing module is configured with a patient information base and an information input strategy, the information input strategy comprises personal information which responds to a user instruction and is input into a patient so as to generate a patient information table, the personal information comprises a patient name, a patient identification number, a patient age, a patient weight, an image acquisition part and image acquisition equipment, and the patient information table is stored in the patient information base.
The patient can select different image acquisition devices (such as a CR device, a CT device and an MRI device) for image acquisition according to different affected parts. The medical staff enters the name of the patient, the identification number of the patient, the age of the patient, the weight of the patient, the affected part of the patient, namely, the image acquisition part, and the equipment for image acquisition into the patient information table.
The preliminary distribution module is configured with a flow library and a flow distribution strategy, the flow library is configured with a plurality of flow tables, the image acquisition flow in each flow table is different and corresponds to different types of patients, the flow distribution strategy comprises the steps of extracting a patient information table, and matching the corresponding flow table for the patients by taking the image acquisition part and the image acquisition equipment as variables through a preset flow configuration algorithm.
The image acquisition processes of different flow charts are different, the image acquisition process in the general flow chart sequentially comprises early preparation, shooting and image post-processing, and according to the difference of the patient position and the image acquisition part, the image acquisition process of some patients does not need early preparation or image post-processing. The preliminary allocation module extracts the patient information table and provides a corresponding flow chart for the patient according to information in the patient information table.
The adjustment module includes a flow adjustment strategy that includes selecting a new flow sheet in the flow library in response to a user instruction to replace the original flow sheet.
When the medical staff finds that the flow chart automatically recommended by the system is different from the flow requirement of the patient or a flow chart more suitable for the patient exists, the medical staff can manually select a suitable flow chart through the adjusting module to replace the flow chart recommended by the system. And the patient carries out image acquisition according to the arrangement that the finally determined flow chart is arranged in the appointed place to install the flow chart.
The adjusting module is also provided with a flow table customizing strategy, the flow table customizing strategy comprises a step of responding to a user request to generate a new flow table in the flow base, and an image acquisition flow in the flow table is adjusted according to a user instruction so as to meet the user requirement.
Aiming at special patients, when the flow tables in the flow library are not suitable, medical staff can generate new flow tables according to needs, the image acquisition flow of the new flow tables can be adjusted by themselves, and the new flow tables are finally kept in the flow library.
The contrast agent dosage module comprises a contrast agent dosage strategy, the contrast agent dosage strategy comprises the steps of obtaining all patient information tables of the patient within the preset obtaining time, and calculating the contrast agent theoretical dosage value required by the patient by taking the age of the patient, the weight of the patient, the image collecting part and the image collecting equipment as variables through a preset contrast agent theoretical algorithm.
The patient needs to take or inject the contrast medium before image acquisition, and the contrast medium is taken too much in a period of time, which may cause side effects such as kidney damage, and thus the amount of the contrast medium needs to be strictly grasped. The system can calculate the amount of the contrast agent required to be taken or injected by a patient through the contrast agent dosage module, and avoids the situation that medical staff administer too much contrast agent to the patient.
The calculation of the dosage of the contrast agent comprises a contrast agent theory algorithm, the contrast agent theory algorithm is used for calculating the optimal administration or injected contrast agent dosage for achieving the shooting effect, and the contrast agent correction algorithm corrects the dosage of the contrast agent by combining the total amount of the contrast agent administered by the patient within a period of time, so that the dosage of the contrast agent administered or injected by the patient can meet the minimum requirement of image acquisition, and the condition that the patient takes too much contrast agent is avoided.
The contrast agent theory algorithm is configured as:
wherein, P is the contrast agent theoretical dosage value, h is a preset first basic parameter value, k is a preset first weight parameter value, s is the age parameter value of the patient, w is the weight value of the patient, and c is the selected contrast agent concentration value.
The first basic parameter value and the first weight parameter value are determined according to image acquisition equipment, the age parameter value is calculated according to a preset age parameter algorithm and the age of a patient, and the concentration value of the contrast agent is determined according to an image acquisition part.
The age parameter algorithm is configured to:
s＝d+a×sin(b×j)
wherein d is a preset second basic parameter value, a is a preset second weight parameter, b is a preset third weight parameter, and j is the age of the patient; the second basic parameter value, the second weight parameter value and the third weight parameter value are all determined according to the image acquisition equipment.
The contrast agent dosage strategy also comprises a step of calculating the contrast agent correction dosage value required by the patient by taking the accumulated contrast agent dosage of the patient in the acquisition time period and the contrast agent theoretical dosage value as variables through a preset contrast agent correction algorithm.
The contrast agent modification algorithm is configured to:
q is a contrast agent correction dosage value, P is a contrast agent theoretical dosage value, g is a contrast agent value which is taken or injected by a patient within an acquisition time length, v is a maximum contrast agent dosage threshold within the acquisition time length, c is a selected contrast agent concentration value, f is a minimum contrast agent dosage value which is required to be taken or injected for realizing image acquisition, the maximum contrast agent dosage threshold is calculated by taking the acquisition time length as a variable through a preset contrast agent threshold algorithm, the contrast agent concentration value is determined according to an image acquisition part, and the minimum contrast agent dosage value which is required to be taken or injected for realizing image acquisition is determined according to the acquisition part and the contrast agent concentration value.
The maximum threshold contrast agent usage algorithm is configured to:
v＝m+n×ln(z×t)
wherein n is a preset third basic parameter value, m is a preset fourth weight parameter, z is a preset fifth weight parameter, and t is an acquisition duration.
For example, the patient has been subjected to 3 image acquisitions within a certain past year, the 3 image acquisitions being injected with a total of 50ml of contrast agent of 300mgl/ml, i.e. the patient has been injected with 15000 mg of contrast agent within a year. The patient has an age j of 40, the image acquisition part is thoracic vertebra, the image acquisition device is CR equipment, the second basic parameter value d, the second weight parameter value a and the third weight parameter value b are respectively 5, 4 and pi/80, and the age parameter value of the patient is 9 calculated by an age parameter algorithm.
The first basic parameter value h and the first weight parameter value k are both determined to be 3 and 6 according to the image acquisition equipment, the weight value w of a patient littleneck is 70 kg, the concentration value c of the contrast agent is determined to be 180mgl/ml according to the image acquisition part, at this time, the calculation is performed by a contrast agent theoretical algorithm, and the theoretical dosage value P of the contrast agent of the patient littleneck is 24 ml.
The obtaining time t of a patient littleneck is 365 days, the third basic parameter value n, the fourth weighting parameter m and the fifth weighting parameter z are respectively determined to be 1500, 1800 and 100, at this time, the obtained value is calculated by a contrast agent usage maximum threshold algorithm, the contrast agent usage maximum threshold v of the patient littleneck is 113.38ml, the contrast agent value g which has been taken or injected by the patient is 15000 mg, the minimum contrast agent usage value f which needs to be taken or injected for realizing image acquisition is determined to be 12ml according to the acquisition part of thoracic vertebra and the contrast agent concentration value c of 180mgl/ml, at this time, v × c is obtained by calculation and is 20408.4 ≥ g + p × c is 19320, therefore, the contrast agent correction usage value Q is obtained by calculation according to the contrast agent correction algorithm, and the patient takes the contrast agent according to the contrast agent correction usage value Q.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (7)
1. The utility model provides a medical image acquisition management system, includes the information editing module, the information editing module is used for entering patient's information which characterized in that: the system comprises a patient monitoring system, and is characterized by further comprising a preliminary distribution module, an adjustment module and a contrast agent dosage module, wherein the preliminary distribution module is used for automatically recommending an image acquisition process of the patient, the adjustment module is used for manually adjusting the image acquisition process of the patient, and the contrast agent dosage module is used for calculating the dosage of a contrast agent which needs to be taken by the patient;
the information editing module is configured with a patient information base and an information input strategy, the information input strategy comprises personal information which responds to a user instruction and is input into a patient to generate a patient information table, the personal information comprises a patient name, a patient identity card number, a patient age, a patient weight, an image acquisition part and image acquisition equipment, and the patient information table is stored in the patient information base;
the preliminary distribution module is configured with a flow library and a flow distribution strategy, the flow library is configured with a plurality of flow tables, the image acquisition flow in each flow table is different and corresponds to different types of patients, the flow distribution strategy comprises extracting the patient information table, and matching the corresponding flow table for the patients by taking the image acquisition part and the image acquisition equipment as variables through a preset flow configuration algorithm;
the adjusting module comprises a flow adjusting strategy, and the flow adjusting strategy comprises a new flow table selected in the flow base in response to a user instruction to replace the original flow table;
the contrast agent dosage module comprises a contrast agent dosage strategy, the contrast agent dosage strategy comprises the steps of obtaining all patient information tables of the patient within the preset obtaining duration, and calculating the contrast agent theoretical dosage required by the patient by taking the age of the patient, the weight of the patient, the image collecting part and the image collecting equipment as variables through a preset contrast agent theoretical algorithm.
2. The medical image acquisition management system according to claim 1, characterized in that: the contrast agent theory algorithm is configured to:
wherein P is a contrast agent theoretical dosage value, h is a preset first basic parameter value, k is a preset first weight parameter value, s is an age parameter value of the patient, w is a weight value of the patient, and c is a selected contrast agent concentration value;
the first basic parameter value and the first weight parameter value are determined according to image acquisition equipment, the age parameter value is calculated according to a preset age parameter algorithm and the age of a patient, and the concentration value of the contrast agent is determined according to an image acquisition part.
3. The medical image acquisition management system according to claim 2, characterized in that: the age parameter algorithm is configured to:
s＝d+a×sin(b×j)
wherein d is a preset second basic parameter value, a is a preset second weight parameter, b is a preset third weight parameter, and j is the age of the patient; the second base parameter value, the second weight parameter value and the third weight parameter value are all determined according to image acquisition equipment.
4. The medical image acquisition management system according to claim 1, characterized in that: the contrast agent dosage strategy also comprises a step of calculating the contrast agent correction dosage required by the patient by taking the accumulated contrast agent dosage of the patient in the acquisition time period and the contrast agent theoretical dosage as variables through a preset contrast agent correction algorithm.
5. The medical image acquisition management system according to claim 4, characterized in that: the contrast agent modification algorithm is configured to:
q is a contrast agent correction dosage value, P is a contrast agent theoretical dosage value, g is a contrast agent value which is taken or injected by a patient within an acquisition time length, v is a maximum contrast agent dosage threshold value within the acquisition time length, c is a selected contrast agent concentration value, f is a minimum contrast agent dosage value which is taken or injected for realizing image acquisition, the maximum contrast agent dosage threshold value is calculated by taking the acquisition time length as a variable through a preset contrast agent threshold value algorithm, the contrast agent concentration value is determined according to an image acquisition part, and the minimum contrast agent dosage value which is taken or injected for realizing the image acquisition is determined according to the acquisition part and the contrast agent concentration value.
6. The medical image acquisition management system according to claim 5, characterized in that: the maximum threshold contrast agent usage algorithm is configured to:
wherein n is a preset third basic parameter value, m is a preset fourth weighting parameter, z is a preset fifth weighting parameter, t is an acquisition duration, and c is a selected contrast agent concentration value.
7. The medical image acquisition management system according to claim 1, characterized in that: the adjusting module is also provided with a flow table customizing strategy, the flow table customizing strategy comprises a step of responding to a user request to generate a new flow table in the flow base, and an image collecting flow in the flow table is adjusted according to a user instruction so as to meet the user requirement.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010113946.4A CN111341430A (en) | 2020-02-24 | 2020-02-24 | Medical image acquisition management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010113946.4A CN111341430A (en) | 2020-02-24 | 2020-02-24 | Medical image acquisition management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111341430A true CN111341430A (en) | 2020-06-26 |
Family
ID=71181792
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010113946.4A Pending CN111341430A (en) | 2020-02-24 | 2020-02-24 | Medical image acquisition management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111341430A (en) |
-
2020
- 2020-02-24 CN CN202010113946.4A patent/CN111341430A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2534393C2 (en) | Method and system for visualising patients with personal medical device | |
| US8313432B2 (en) | Surgical data monitoring and display system | |
| US20080077001A1 (en) | Medical information system for intensive care unit | |
| CN104424385B (en) | A kind of evaluation method and device of medical image | |
| EP2427866B1 (en) | Automatic assessment of confidence in imaging data | |
| DE102008014709A1 (en) | System and method for exchanging medical information between image-based surgical systems | |
| CN103167831B (en) | Anxiety is monitored | |
| DE102005026220A1 (en) | Subject e.g. person, examination region`s e.g. spinal column, medical image data acquisition, analysis and representation performing method, involves displaying part of data set at display with graphical representation | |
| DE102007059602A1 (en) | Movement correction of tomographic medical image data of a patient | |
| DE102008016286A1 (en) | System and method for tracking a respiratory cycle of an object | |
| JP2013081579A (en) | Dynamic medical image forming system | |
| US20130051704A1 (en) | Exposure condition decision support system and method | |
| DE102012202447A1 (en) | Structured image-based findings generation | |
| KR20170028931A (en) | Systems and methods for managing adverse reactions in contrast media-based medical procedures | |
| DE112014006964T5 (en) | Systems and methods for anatomy-based registration of medical images required in various image modalities | |
| DE102012200782A1 (en) | Method for controlling an image recording device and image recording device | |
| US20100042434A1 (en) | System and method for discovering information in medical image database | |
| JP2003107161A (en) | Method for correcting difference between brain function images under abnormal conditions | |
| CN111341430A (en) | Medical image acquisition management system | |
| JP2001325584A (en) | Method and device for aligning image | |
| JP2001285858A (en) | Method and instrument for photographing image | |
| CN111540442A (en) | Medical image diagnosis scheduling management system based on computer vision | |
| US9443057B2 (en) | Method and system for image acquisition workflow | |
| CN112545483B (en) | Intelligent magnetic resonance respiratory motion training method and device | |
| CN110269591B (en) | Medical scanning image positioning method and device, computer equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200626 |
|
| WD01 | Invention patent application deemed withdrawn after publication |