CN114464300A - Medical image processing method and device, storage medium and computer equipment - Google Patents
Medical image processing method and device, storage medium and computer equipment Download PDFInfo
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Abstract
The application discloses a medical image processing method and device, a storage medium and computer equipment. The method comprises the following steps: receiving a target medical image, and distributing the target medical image to a billing doctor terminal corresponding to the target medical image; monitoring the processing progress of the target medical image, and if the target medical image is not processed after monitoring for a first preset time, recovering the target medical image to a scheduling center, wherein the scheduling center corresponds to a plurality of sharing doctors, and each sharing doctor is provided with a corresponding processable item; and screening order transferring doctors of the target medical images from the sharing doctors according to the target items of the target medical images, the processable items of the sharing doctors and the current to-be-processed resource amount of the sharing doctors, and distributing the target medical images to corresponding order transferring doctor terminals. The processing method improves the film reading efficiency, reduces the waiting time of patients, effectively balances the doctor resources of each mechanism and avoids the waste of the doctor resources.
Description
Technical Field
The present application relates to the field of medical technology, and in particular, to a method and an apparatus for processing a medical image, a storage medium, and a computer device.
Background
In the conventional medical image reading mode, all mechanisms independently process reports of the mechanisms and are not connected with each other. Due to the fact that the number of patients in different mechanisms fluctuates, the number of the shots of the patients also fluctuates, the situations that a large amount of work is accumulated due to too many shots of some mechanisms, the efficiency of reading the shots is low, the waiting time of the patients is long, and the resources of doctors are wasted due to too few shots of some mechanisms often occur.
Disclosure of Invention
In view of this, the present application provides a medical image processing method and apparatus, a storage medium, and a computer device, which are helpful for balancing doctor resources of each mechanism and improving film reading efficiency.
According to an aspect of the present application, there is provided a medical image processing method, including:
receiving a target medical image, and distributing the target medical image to a billing doctor terminal corresponding to the target medical image;
monitoring the processing progress of the target medical image, and if the target medical image is not processed after monitoring for a first preset time, recovering the target medical image to a scheduling center, wherein the scheduling center corresponds to a plurality of sharing doctors, and each sharing doctor is provided with a corresponding processable item;
and screening order transferring doctors of the target medical images from the sharing doctors according to the target items of the target medical images, the processable items of the sharing doctors and the current to-be-processed resource amount of the sharing doctors, and distributing the target medical images to corresponding order transferring doctor terminals.
Optionally, the allocating the target medical image to an initial doctor terminal corresponding to the target medical image specifically includes:
acquiring order data corresponding to the target medical image, wherein the order data comprise a plurality of order items and a film reading doctor corresponding to each order item, and the order items comprise the target items;
and determining the film reading doctor corresponding to the target item as an initial doctor of the target medical image, and distributing the target medical image to the initial doctor terminal.
Optionally, the order changing doctor for screening the target medical image from the sharing doctors according to the target item of the target medical image, the processable item of the sharing doctor and the current amount of resources to be processed of the sharing doctor specifically includes:
determining that the sharing doctor of the processable item and the target item is the first candidate doctor;
and determining a transfer doctor in the first candidate doctors according to the first current resource amount to be processed of the first candidate doctor and a first reading speed, wherein the first reading speed is determined by counting the historical working records of the first candidate doctor.
Optionally, after the allocating the target medical image to the corresponding order transferring doctor terminal, the method further includes:
if the target medical image is detected to be processed, locking the target medical image in the order transferring doctor terminal, wherein the locked medical image cannot be recycled;
and if the target medical image is not processed after the second preset time is detected, recovering the target medical image to the dispatching center.
Optionally, before the allocating the target medical image to the corresponding initial doctor terminal, the method further includes:
extracting a tissue contour corresponding to a tissue to be analyzed from the target medical image, and determining a tissue range to be analyzed by using the tissue contour;
analyzing the movement speed and the movement distance of the tissue to be analyzed in a plurality of different directions within the range of the tissue to be analyzed, respectively comparing the movement speed with a preset reference movement speed of a reference medical image, and comparing the movement distance with a reference movement distance of the reference medical image to obtain a tissue lesion pre-analysis result;
filling a preset report template according to the tissue lesion pre-analysis result to obtain a pre-analysis report;
the allocating the target medical image to an initial doctor terminal corresponding to the target medical image further includes:
and sending the pre-analysis result and the pre-analysis report to the initial doctor terminal.
Optionally, before the allocating the target medical image to the corresponding initial doctor terminal, the method further includes:
extracting the contour of a tissue to be analyzed in a target medical image, and determining a point with a motion track change larger than a preset threshold value on the contour as a control point, wherein the point with the motion track change smaller than the preset threshold value is a non-control point;
determining a first displacement of the control point by an affine transformation method, and determining a second displacement of the non-control point according to the first displacement by a warping nonlinear transformation method;
and performing curve fitting on the first displacement and the second displacement by utilizing a cubic spline interpolation method, determining target displacement of the tissue to be analyzed according to the fitted curve, and performing coordinate transformation on the target medical image according to the target displacement.
Optionally, before the allocating the target medical image to the corresponding initial doctor terminal, the method further includes:
if the current to-be-processed workload of the ordering doctor corresponding to the target medical image is smaller than a preset workload threshold, taking the doctor terminal corresponding to the ordering doctor as the initial doctor terminal;
if the current to-be-processed workload of the ordering doctor is greater than or equal to the preset workload threshold, screening a second candidate doctor in each doctor according to the target project and the processable project of each doctor in a preset initial doctor group, wherein the doctors in the initial doctor group and the ordering doctor belong to the same mechanism;
and determining the initial doctor in the second candidate doctors according to a second current to-be-processed workload of the second candidate doctors and a second film reading speed, and taking a doctor terminal corresponding to the initial doctor as the initial doctor terminal, wherein the second film reading speed is determined by counting historical work records of the second candidate doctors.
According to another aspect of the present application, there is provided a medical image processing apparatus including:
the first distribution module is used for receiving a target medical image and distributing the target medical image to an initial doctor terminal corresponding to the target medical image;
the first recovery module is used for monitoring the processing progress of the target medical image, and if the target medical image is not processed after monitoring for a first preset time, recovering the target medical image to a scheduling center, wherein the scheduling center corresponds to a plurality of sharing doctors, and each sharing doctor is provided with a corresponding processable item;
and the second distribution module is used for screening order transfer doctors of the target medical images from the sharing doctors according to the target items of the target medical images, the processable items of the sharing doctors and the current to-be-processed resource amount of the sharing doctors, and distributing the target medical images to corresponding order transfer doctor terminals.
Optionally, the first distribution module comprises: a first acquisition unit and a first allocation unit.
The first acquisition unit is used for acquiring order data corresponding to the target medical image, wherein the order data comprise a plurality of order items and a film reading doctor corresponding to each order item, and the order items comprise the target items;
and the first distribution unit is used for determining the film reading doctor corresponding to the target item as an initial doctor of the target medical image and distributing the target medical image to the initial doctor terminal.
Optionally, the second allocating module comprises: a first screening unit and a second screening unit.
A first screening unit, configured to determine that the sharing doctor with the processable item and the target item being the same is a first candidate doctor;
and the second screening unit is used for determining order transfer doctors in the first candidate doctors according to the first current resource amount to be processed of the first candidate doctors and a first film reading speed, wherein the first film reading speed is determined by counting historical work records of the first candidate doctors.
Optionally, the medical image processing apparatus further includes: a locking module and a second recycling module. The locking module is used for locking the target medical image in the order-changing doctor terminal if the target medical image is detected to start to be processed, wherein the locked medical image cannot be recycled;
the second recovery module is configured to recover the target medical image to the scheduling center if it is detected that the target medical image is not processed after a second preset duration.
Optionally, the medical image processing apparatus further includes: a pre-analysis module to:
extracting a tissue contour corresponding to a tissue to be analyzed from the target medical image, and determining a tissue range to be analyzed by using the tissue contour;
analyzing the movement speed and the movement distance of the tissue to be analyzed in a plurality of different directions within the range of the tissue to be analyzed, respectively comparing the movement speed with a preset reference movement speed of a reference medical image, and comparing the movement distance with a reference movement distance of the reference medical image to obtain a tissue lesion pre-analysis result;
filling a preset report template according to the tissue lesion pre-analysis result to obtain a pre-analysis report;
the first distribution module is further used for sending the pre-analysis result and the pre-analysis report to the initial doctor terminal.
Optionally, the medical image processing apparatus further includes: a registration module to: .
Extracting the contour of a tissue to be analyzed in a target medical image, and determining a point with a motion track change larger than a preset threshold value on the contour as a control point, wherein the point with the motion track change smaller than the preset threshold value is a non-control point;
determining a first displacement of the control point by using an affine transformation method, and determining a second displacement of the non-control point according to the first displacement by using a warping nonlinear transformation method;
and performing curve fitting on the first displacement and the second displacement by utilizing a cubic spline interpolation method, determining target displacement of the tissue to be analyzed according to the fitted curve, and performing coordinate transformation on the target medical image according to the target displacement.
Optionally, the first distribution unit comprises: a judgment component and a third screening component.
The judging component is used for judging whether the current to-be-processed workload of the ordering doctor corresponding to the target medical image is smaller than a preset workload threshold value;
the third screening component is used for taking a doctor terminal corresponding to the order-issuing doctor as the initial doctor terminal if the current to-be-processed workload of the order-issuing doctor corresponding to the target medical image is less than a preset workload threshold;
the third screening component is further configured to screen a second candidate doctor in each doctor according to the target item and a processable item of each doctor in a preset initial doctor group if the current to-be-processed workload of the ordering doctor is greater than or equal to the preset workload threshold, wherein the doctors in the initial doctor group and the ordering doctor belong to the same mechanism;
the third screening component is further configured to determine the initial doctor among the second candidate doctors according to a second current to-be-processed workload and a second reading speed of the second candidate doctor, and use a doctor terminal corresponding to the initial doctor as the initial doctor terminal, where the second reading speed is determined by counting historical work records of the second candidate doctor.
According to still another aspect of the present application, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described method of processing medical images.
According to still another aspect of the present application, there is provided a computer device including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the above medical image processing method when executing the program.
By means of the technical scheme, after the medical image is distributed to the initial doctor, if the initial doctor does not process the medical image for a long time, the unprocessed medical image can be recycled and distributed to the order transferring doctor again. The film reading efficiency is improved, the waiting time of patients is reduced, the doctor resources of various hospitals are effectively balanced, and the waste of the doctor resources is avoided.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart illustrating a medical image processing method according to an embodiment of the present application;
fig. 2 is a schematic flow chart illustrating another medical image processing method according to an embodiment of the present application;
fig. 3 is a flowchart illustrating another medical image processing method according to an embodiment of the present application;
fig. 4 is a block diagram illustrating a medical image processing apparatus according to an embodiment of the present application.
Detailed Description
The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
In this embodiment, a method for processing a medical image is provided, as shown in fig. 1, the method includes:
step 101, receiving a target medical image, and distributing the target medical image to an initial doctor terminal corresponding to the target medical image;
the medical image processing method provided by the embodiment of the application can be used for viewing and analyzing the medical image by a medical institution. First, a target medical image to be processed is received, wherein the target medical image may be all the films in an order. And then distributing the received target medical image to an initial doctor terminal, wherein the initial doctor can be a doctor who orders the patient to take the target medical image or other doctors capable of processing the target medical image.
in this embodiment, if the workload of the initial doctor is too much, the target medical image cannot be processed in time, so as to avoid the continuous waiting of the patient, the target medical image which is not processed in time can be recycled to the scheduling center, and the target medical image is redistributed in the scheduling center.
Specifically, the processing progress of the target medical image may be monitored, and if the target medical image is not processed after the first preset time period, it may be considered that the initial doctor has temporarily lost efforts to process the medical image. In this case, the target medical image is collected to the dispatch center, redistributed, and handled by a shared doctor in the dispatch center.
103, screening order-changing doctors of the target medical images from the sharing doctors according to the target items of the target medical images, the processable items of the sharing doctors and the current to-be-processed resource amount of the sharing doctors, and distributing the target medical images to corresponding order-changing doctor terminals.
In this embodiment, the sharing doctors of the dispatch center have corresponding processable items, and the target medical images can be distributed according to the target items of the target medical images and the processable items of the sharing doctors, so that the distributed transfer doctors have the ability to process the target items of the target medical images.
Further, in order to avoid allocating the target medical image to the sharing doctors with overload workload, which still cannot be processed in time, when selecting the order transfer doctor from the sharing doctors, the current amount of resources to be processed of the sharing doctors can be considered.
By applying the technical scheme of the embodiment, the target medical image can be distributed to a proper initial doctor, and further, if the initial doctor does not process for a long time, the unprocessed target medical image can be recycled and distributed to the order transferring doctor again. The film reading efficiency is improved, the problem that the waiting time of a patient is too long is solved, meanwhile, the doctor resources of each hospital are effectively balanced, and the waste of the doctor resources is avoided.
Further, as a refinement and an extension of the specific implementation of the above embodiment, in order to fully describe the specific implementation process of the embodiment, another method for processing a medical image is provided, in which a target medical image is allocated to an initial doctor terminal corresponding to the target medical image, and the method specifically includes:
step 201, obtaining order data corresponding to a target medical image, wherein the order data comprises a plurality of order items and a film reading doctor corresponding to each order item, and the order items comprise target items;
in this embodiment, the target medical image includes a plurality of order items, and each order item has a corresponding medical reading doctor. For example, after a car accident, a target medical image is taken for orthopedic examination items, including orthopedic-lumbar, orthopedic-knee and orthopedic-hip order items. The film reading doctors corresponding to each order item are all doctors capable of processing the order item, wherein the film reading doctors corresponding to the three order items can be the same or different.
Further, the image reading doctor corresponding to the target item may be an order-opening doctor of the target medical image. For example, the patient takes a target medical image of the fracture examination item, and the corresponding medical imaging doctor may be a doctor who prescribes the patient to examine the fracture item.
In addition, a doctor who views the target item may be selected from other doctors, and for example, when the work load of the ordering doctor is excessive or the ordering doctor is in a non-operation state, one doctor who can handle the target item may be selected as the doctor who views the target item in a medical institution where the ordering doctor is located.
Further, the same order item may also contain multiple sheets. For example, the lumbar order item may include a lumbar spine positive position sheet and a lumbar spine lateral sheet, and in this case, the same doctors as the lumbar spine positive position sheet and the lumbar spine lateral sheet correspond to the lumbar order item.
Step 202, determining the film reading doctor corresponding to the target item as an initial doctor of the target medical image, and distributing the target medical image to the initial doctor terminal.
In this embodiment, after the initial doctor is determined, the target medical image is sent to the initial doctor terminal corresponding to the initial doctor, so that the initial doctor can acquire and process the target medical image through the initial doctor terminal.
In this embodiment, an initial doctor is determined and the target medical image is assigned to the initial doctor. The initial doctor may be a corresponding order-issuing doctor or other doctors capable of processing corresponding items. The target medical image is handed to a professional who knows the target project to be processed, and the film reading accuracy is guaranteed.
Further, as shown in fig. 2, the order changing doctor for screening the target medical image from the sharing doctors according to the target item of the target medical image, the processable item of the sharing doctors, and the current amount of resources to be processed of the sharing doctors specifically includes:
step 301, determining that the sharing doctor of the processable item and the target item is the first candidate doctor;
in this embodiment, each sharing doctor has a corresponding processable item, and the sharing doctor with the processable item identical to the target item is selected as the first candidate doctor, so as to ensure the professiveness of the first candidate doctor for the target item.
For example, when the target item of the target medical image is an orthopedic examination, a sharing doctor who can process the item as the orthopedic examination may be selected from the plurality of sharing doctors as the first candidate doctor.
Further, the first candidate doctor may be one or more. If the first candidate doctor is one, the first candidate doctor can be used as a transfer doctor of the target medical image; if the first candidate doctor is multiple, one of the multiple first candidate doctors can be selected as a single doctor.
Step 302, determining order transfer doctors in the first candidate doctors according to the first current resource amount to be processed of the first candidate doctors and a first film reading speed, wherein the first film reading speed is determined by counting historical work records of the first candidate doctors.
In this embodiment, if there are multiple first candidate doctors, one first candidate doctor with a relatively small amount of resources to be processed or a relatively high reading speed among the multiple first candidate doctors may be determined as the order transfer doctor according to the first current amount of resources to be processed and the first reading speed of each first candidate doctor.
Further, it can be determined respectively how long each first candidate doctor needs to be able to process the own to-be-processed resource according to the first current to-be-processed resource amount and the first interpretation speed, and the duration is used as the fastest response duration corresponding to the first candidate doctor. And selecting a first candidate doctor with the shortest response time as a change doctor.
In this embodiment, first candidate doctors with the ability to process the target item are selected, and then the order transferring doctors capable of processing the target medical image faster are selected from the first candidate doctors, so that the patient can obtain more professional diagnosis results in a shorter time.
Further, if a stop assignment condition is triggered, the assignment of the target medical image in the dispatch center to the sharing doctor may be stopped. The allocation stopping condition can be that the workload of all sharing doctors reaches a preset threshold value; or the rest time of the shared doctor at the current moment. Of course, other conditions may be set as the allocation stop condition, and are not limited herein.
Further, if the allocation starting condition is triggered, the target medical image in the dispatching center is allocated to the sharing doctor; the stop allocation condition may be that the workload of at least one sharing doctor is less than a preset threshold; or the working time of the sharing doctor at the current moment; or a certain time length threshold value is reached after the condition of stopping distribution is triggered; the number of target medical images in the scheduling center may also reach a preset image number threshold, which is not limited herein.
For example, when it is detected that the number of unprocessed target medical images allocated to the sharing doctor is too large, the allocation stop condition is triggered to stop the allocation of the target medical images to the sharing doctor, and the time counting is started with the time at which the allocation stop condition is triggered as the start time, and when the counted time length reaches the stop time length threshold value, the allocation start condition is triggered to restart the allocation of the target medical images.
In this embodiment, the sharing doctor capable of processing the target medical image is selected as the first candidate doctor according to the processable item of each sharing doctor, and then a first candidate doctor capable of processing the target medical image earlier is selected as the order transferring doctor according to the first current amount of resources to be processed and the first reviewing speed. Meanwhile, the workload of the project which is good for sharing doctors is considered, the target medical image can be processed by more professional doctors earlier, the processing time is ensured, the professional degree is also ensured, and the patient can obtain more professional diagnosis results in shorter time.
Further, in another medical image processing method, after the target medical image is distributed to the corresponding order transferring doctor terminal, the method further includes:
step 401, if it is detected that the target medical image starts to be processed, locking the target medical image in a single-transfer doctor terminal, wherein the locked medical image cannot be recovered;
in this embodiment, after the target medical image is distributed to the order transfer doctor terminal, if the order transfer doctor cannot process the target medical image in time, the target medical image can be recycled to the scheduling center again in an automatic recycling or manual recycling manner and then redistributed by the scheduling center. If the target medical image is detected to be processed, the target medical image can be locked in the order transfer doctor terminal, so that the target medical image cannot be recycled and redistributed. The method and the device avoid two doctors from processing the same target medical image, waste doctor resources, ensure the consistency of thought in the processing process and avoid that a plurality of doctors obtain different diagnosis results aiming at the same target medical image.
Step 402, if it is detected that the target medical image is not processed after the second preset time period, the target medical image is recycled to the dispatching center.
In this embodiment, if the target medical image is not processed after the second preset time period, it indicates that the current order-changing doctor has no energy to process the target medical image in time, so the target medical image can be recycled to the dispatching center to be distributed to other order-changing doctors again in the dispatching center.
In addition, if the target medical image is not processed after the second preset time, the target medical image can be directly and manually sent to the initial doctor terminal instead of being automatically recycled to the dispatching center to wait for redistribution, and then the target medical image is transferred back to the initial doctor for processing.
Further, in another medical image processing method, before distributing the target medical image to the corresponding initial doctor terminal, the method further includes:
step 501, extracting a tissue contour corresponding to a tissue to be analyzed from the target medical image, and determining a tissue range to be analyzed by using the tissue contour;
in the embodiment, according to the ID or name of the tissue to be analyzed, the edge contour of the tissue to be analyzed is extracted from the registered target medical image, and the edge contour is used for limiting the range of the tissue to be analyzed, so that only the part in the range needs to be analyzed, the analysis range is reduced, and the analysis efficiency is improved.
Step 502, analyzing the movement speed and the movement distance of the tissue to be analyzed in a plurality of different directions within the range of the tissue to be analyzed, respectively comparing the movement speed with a preset reference movement speed of a reference medical image, and comparing the movement distance with a reference movement distance of the reference medical image to obtain a tissue lesion pre-analysis result;
in this embodiment, when analyzing the portion within the range, it is possible to obtain a moving speed and a moving distance in each direction respectively according to the movement of the tissue to be analyzed in a plurality of different directions, and analyze the lesion condition of the tissue according to the moving speed and the moving distance. For example, during a cardiac cycle, the apex and the fundus rotate in opposite directions to achieve contraction and expansion of the heart. Based on the method, a three-dimensional coordinate system can be established, the movement speed and the movement distance of the cardiac apex and the cardiac base in each coordinate axis direction are respectively judged, the rotation conditions of the cardiac apex and the cardiac base are analyzed through the movement speed and the movement distance, the contraction and the expansion of the heart are further analyzed, and whether the heart is diseased or not is judged.
Further, a reference medical image may be preset, wherein the reference medical image is an image of a healthy tissue, and after the movement speed and the movement distance of the tissue to be analyzed are determined, the movement speed may be compared with the reference movement speed of the reference medical image, and the movement distance may be compared with the reference movement distance of the reference medical image, so as to determine whether the tissue to be analyzed in the target medical image is healthy.
In this embodiment, before the target medical image is distributed to the initial doctor terminal, preliminary tissue lesion pre-analysis can be automatically performed on the target medical image, so that the work of the initial doctor is simplified, and the diagnosis efficiency is improved.
Step 503, filling a preset report template according to the tissue lesion pre-analysis result to obtain a pre-analysis report;
distributing the target medical image to the corresponding initial doctor terminal, and further comprising:
and sending the pre-analysis result and the pre-analysis report to an initial doctor terminal.
In the embodiment, the pre-analysis report and the target image distribution are distributed to the initial doctor terminal, so that the initial doctor can directly edit and modify the pre-analysis report to obtain a final diagnosis report, and the diagnosis efficiency is effectively improved.
Further, in another medical image processing method, before the allocating the target medical image to the corresponding initial doctor terminal, the method further includes:
step 601, extracting the contour of the tissue to be analyzed in the target medical image, and determining a point with a motion track change larger than a preset threshold value on the contour as a control point, wherein a point with a motion track change smaller than the preset threshold value is a non-control point;
in this embodiment, if the target medical image includes a plurality of images, and the plurality of images are analyzed together, a registration method may be used to make the location of the tissue to be analyzed on each image the same, for example, a blood vessel image including a contrast agent and a blood vessel image not including a contrast agent may be analyzed simultaneously. In this case, an edge detection algorithm may be used to determine the contour of the tissue to be analyzed, and thus each point on the contour. Sequencing each image in the target medical images according to the time sequence from first to last, respectively determining the motion trail of each point according to the position of the point on the contour on each image, and determining a control point and a non-control point based on the motion trail.
Step 602, determining a first displacement of a control point by using an affine transformation method, and determining a second displacement of a non-control point according to the first displacement by using a warping nonlinear transformation method;
in the embodiment, after the first displacement of the control point is determined, the position of the non-control point in the current image is calculated by using a warping nonlinear transformation method according to the position of the control point in the previous image, and then the second displacement of the non-control point is determined.
Step 603, performing curve fitting on the first displacement and the second displacement by using a cubic spline interpolation method, determining target displacement of the tissue to be analyzed according to the fitted curve, and performing coordinate transformation on the target medical image according to the target displacement.
And performing curve fitting on the first displacement and the second displacement by utilizing a cubic spline interpolation method to determine the target displacement of the tissue to be analyzed, and performing coordinate transformation on the target medical image to eliminate the influence of artifacts and the like caused by the displacement of the tissue to be analyzed so that the tissue to be analyzed has the same spatial position on each image.
Further, in another medical image processing method, before distributing the target medical image to the corresponding initial doctor terminal, the method further includes:
step 701, if the current to-be-processed workload of the ordering doctor corresponding to the target medical image is less than a preset workload threshold, taking the doctor terminal corresponding to the ordering doctor as an initial doctor terminal;
in this embodiment, in consideration of that the ordering doctor can more understand the patient condition corresponding to the target medical image, if the current to-be-processed workload of the ordering doctor is smaller than the preset workload threshold, that is, the ordering doctor has energy to process the target medical image in time, the doctor terminal corresponding to the ordering doctor is used as the initial doctor terminal.
Step 702, if the current to-be-processed workload of the ordering doctor is greater than or equal to a preset workload threshold, screening a second candidate doctor in each doctor according to the target item and the processable item of each doctor in a preset initial doctor group, wherein the doctors in the initial doctor group and the ordering doctor belong to the same mechanism;
in this embodiment, if the current pending workload of the ordering doctor is greater than or equal to the preset workload threshold, the ordering doctor may be considered to be unable to process the target medical image in time. In this case, other doctors may be selected as the initial doctor, and, for example, a doctor capable of processing the target item may be selected as the second candidate doctor in the initial doctor group. Wherein the initial group of doctors may be composed of doctors in a medical institution where the single doctor is located.
Further, the second candidate physicians may be one or more. If the second candidate doctor is one, the second candidate doctor can be used as the initial doctor of the target medical image; if the second candidate doctor is multiple, one of the multiple second candidate doctors can be selected as the order transferring doctor.
Step 703, determining the initial doctor in the second candidate doctors according to a second current to-be-processed workload of the second candidate doctor and a second reading speed, and taking a doctor terminal corresponding to the initial doctor as the initial doctor terminal, wherein the second reading speed is determined by counting historical working records of the second candidate doctor.
In this embodiment, if there are a plurality of second candidate doctors, one second candidate doctor with a relatively small amount of work to be processed or a relatively high reading speed may be determined as the order transferring doctor among the plurality of second candidate doctors according to the second current amount of work to be processed and the second reading speed of each second candidate doctor.
Further, it can be respectively determined how long each second candidate doctor needs to be able to process the own to-be-processed work according to the second current to-be-processed workload and the second reading speed, and the time length is used as the fastest response time length corresponding to the second candidate doctor. And selecting a second candidate doctor with the shortest response time as the initial doctor.
Furthermore, a closing signal can be received, the scheduling center is closed according to the closing signal, and the target medical image cannot be moved to the closed scheduling center; the system also can receive an opening signal and open and close the dispatching center according to the opening signal; for example, after the number of target medical images in the shutdown scheduling center reaches a number threshold, since the backlog of target medical images exceeds the workload of the sharing doctors of the scheduling center, it may be set that the scheduling center is shutdown in this case; conversely, after the number of target medical images in the dispatch center is reduced to a threshold, the sharing doctor has the ability to process more image resources and turn on the dispatch center to move more target image resources into it.
Further, the scheduling center may include a plurality of distributed resource storages, and when the target medical image is recovered to the scheduling center, a load balancing technique is used to determine to which resource storage the target medical image is stored; the method comprises the steps of monitoring information such as the current running state and the number of stored target medical images of each resource storage in a scheduling center in real time, and determining a resource storage which has enough capacity and meets the mobile requirement in a network environment according to the current running state and the stored target medical images when the target medical images need to be stored. Wherein a heartbeat mechanism may be utilized to determine a current operating state of each resource store.
Further, in another medical image processing method, the processing flow is shown in fig. 3. The patient is examined to take a target medical image, and then a diagnosis report is filled in by an initial doctor according to the target medical image. If the target medical image is not processed after the preset time length, the target medical image can overflow to a virtual sharing film reading center, namely a scheduling center; meanwhile, other doctors can be transferred to the doctor in a manual order transferring mode. And the dispatch center includes a plurality of virtual doctor groups, wherein each virtual doctor group may correspond to a medical facility. Each virtual doctor group comprises a plurality of sharing doctors, the target medical images in the dispatching center can be automatically distributed to the virtual doctor groups, then the target medical images are distributed to order-changing doctors in the sharing doctors through the virtual doctor groups, and diagnosis reports are filled by the order-changing doctors; meanwhile, the target medical image can be transferred to the cooperation mechanism in a manual order transferring mode, and a doctor in the cooperation mechanism fills out a diagnosis report. In addition, the target medical image that has been assigned to the virtual doctor group or the order transferring doctor may also be transferred to the original doctor or the cooperation institution by way of manual order transferring.
The embodiment realizes the balanced coordination of doctor resources among the initial doctor, the shared doctor and the cooperation mechanism, avoids overload of the workload of part of doctors, and unsaturated workload of the other part of doctors, and improves the overall diagnosis efficiency.
Further, as a specific implementation of the medical image processing method, an embodiment of the present application provides a medical image processing apparatus, as shown in fig. 4, the apparatus includes: the system comprises a first distribution module, a first recovery module and a second distribution module.
The first distribution module is used for receiving the target medical image and distributing the target medical image to an initial doctor terminal corresponding to the target medical image;
the first recovery module is used for monitoring the processing progress of the target medical image, and if the target medical image is not processed after monitoring that the target medical image is processed for a first preset time, the target medical image is recovered to a scheduling center, wherein the scheduling center corresponds to a plurality of sharing doctors, and each sharing doctor is provided with a corresponding processable item;
and the second distribution module is used for screening order-changing doctors of the target medical images from the sharing doctors according to the target items of the target medical images, the processable items of the sharing doctors and the current to-be-processed resource amount of the sharing doctors, and distributing the target medical images to the corresponding order-changing doctor terminals.
In a specific application scenario, optionally, the first allocating module includes: a first acquisition unit and a first allocation unit.
The medical imaging system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring order data corresponding to a target medical image, the order data comprise a plurality of order items and a film reading doctor corresponding to each order item, and the order items comprise target items;
and the first distribution unit is used for determining the film reading doctor corresponding to the target item as an initial doctor of the target medical image and distributing the target medical image to the initial doctor terminal.
In a specific application scenario, optionally, the second allocating module includes: a first screening unit and a second screening unit.
The first screening unit is used for determining a sharing doctor with the processable item and the target item as a first candidate doctor;
and the second screening unit is used for determining order transfer doctors in the first candidate doctors according to the first current resource amount to be processed of the first candidate doctors and the first film reading speed, wherein the first film reading speed is determined by counting the historical work records of the first candidate doctors.
In a specific application scenario, optionally, the target medical image corresponds to one or more reports to be filled, and the processing apparatus for medical images further includes: a locking module and a second recycling module.
The locking module is used for locking the target medical image in the order-changing doctor terminal if the target medical image is detected to start to be processed, wherein the locked medical image cannot be recycled;
and the second recovery module is used for recovering the target medical image to the dispatching center if the target medical image is not processed after the second preset time length is detected.
In a specific application scenario, optionally, the medical image processing apparatus further includes: a pre-analysis module, the pre-analysis module to:
extracting a tissue contour corresponding to a tissue to be analyzed from the target medical image, and determining the range of the tissue to be analyzed by using the tissue contour;
analyzing the movement speed and the movement distance of the tissue to be analyzed in a plurality of different directions within the range of the tissue to be analyzed, respectively comparing the movement speed with the preset reference movement speed of the reference medical image, and comparing the movement distance with the reference movement distance of the reference medical image to obtain a tissue lesion pre-analysis result;
filling a preset report template according to a tissue lesion pre-analysis result to obtain a pre-analysis report;
and the first distribution module is also used for sending the pre-analysis result and the pre-analysis report to the initial doctor terminal.
In a specific application scenario, optionally, the medical image processing apparatus further includes: a registration module to: extracting the contour of the tissue to be analyzed in the target medical image, and determining a point with a motion track change larger than a preset threshold value on the contour as a control point, wherein a point with a motion track change smaller than the preset threshold value is a non-control point;
determining a first displacement of the control point by using an affine transformation method, and determining a second displacement of the non-control point according to the first displacement by using a warping nonlinear transformation method;
and performing curve fitting on the first displacement and the second displacement by utilizing a cubic spline interpolation method, determining target displacement of the tissue to be analyzed according to the fitted curve, and performing coordinate transformation on the target medical image according to the target displacement.
In a specific application scenario, optionally, the first allocation unit includes: a judgment component and a third screening component.
The judging component is used for judging whether the current to-be-processed workload of the ordering doctor corresponding to the target medical image is smaller than a preset workload threshold value;
the third screening component is used for taking the doctor terminal corresponding to the order-issuing doctor as the initial doctor terminal if the current to-be-processed workload of the order-issuing doctor corresponding to the target medical image is less than the preset workload threshold;
the third screening component is further used for screening a second candidate doctor in each doctor according to the target project and the processable project of each doctor in the initial doctor group if the current to-be-processed workload of the ordering doctor is greater than or equal to the preset workload threshold;
the third screening component is further configured to determine an initial doctor among the second candidate doctors according to a second current to-be-processed workload of the second candidate doctor and a second film reading speed, and use a doctor terminal corresponding to the initial doctor as the initial doctor terminal, where the second film reading speed is determined by counting historical work records of the second candidate doctor.
It should be noted that, other corresponding descriptions of the functional modules related to the medical image processing apparatus provided in the embodiment of the present application may refer to the corresponding descriptions in fig. 1 to fig. 3, and are not repeated herein.
Based on the method shown in fig. 1 to 3, correspondingly, the present application further provides a storage medium, on which a computer program is stored, and the program, when executed by a processor, implements the method for processing medical images shown in fig. 1 to 3.
Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the implementation scenarios of the present application.
Based on the above methods shown in fig. 1 to fig. 3 and the virtual device embodiment shown in fig. 4, in order to achieve the above object, an embodiment of the present application further provides a computer device, which may specifically be a personal computer, a server, a network device, and the like, where the computer device includes a storage medium and a processor; a storage medium for storing a computer program; a processor for executing a computer program to implement the method for processing medical images shown in fig. 1 to 3.
Optionally, the computer device may also include a user interface, a network interface, a camera, Radio Frequency (RF) circuitry, sensors, audio circuitry, a WI-FI module, and so forth. The user interface may include a Display screen (Display), an input unit such as a keypad (Keyboard), etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (e.g., a bluetooth interface, WI-FI interface), etc.
It will be appreciated by those skilled in the art that the present embodiment provides a computer device architecture that is not limiting of the computer device, and that may include more or fewer components, or some components in combination, or a different arrangement of components.
The storage medium may further include an operating system and a network communication module. An operating system is a program that manages and maintains the hardware and software resources of a computer device, supporting the operation of information handling programs, as well as other software and/or programs. The network communication module is used for realizing communication among components in the storage medium and other hardware and software in the entity device.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by software plus a necessary general hardware platform, and can also be implemented by hardware. After distributing the medical images to the initial doctors, if the initial doctors do not process the medical images for a long time, the medical images which are not processed can be recycled and distributed to the order transferring doctors again. The film reading efficiency is improved, the waiting time of patients is reduced, the doctor resources of various hospitals are effectively balanced, and the waste of the doctor resources is avoided.
Those skilled in the art will appreciate that the drawings are merely schematic representations of preferred embodiments and that the elements or acts in the drawings are not necessarily required to practice the present application. Those skilled in the art will appreciate that elements of a device in an implementation scenario may be distributed in the device in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The units of the implementation scenario may be combined into one unit, or may be further split into a plurality of sub-units.
The above application serial numbers are for description purposes only and do not represent the superiority or inferiority of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present application.
Claims (10)
1. A method for processing medical images, the method comprising:
receiving a target medical image, and distributing the target medical image to an initial doctor terminal corresponding to the target medical image;
monitoring the processing progress of the target medical image, and if the target medical image is not processed after monitoring for a first preset time, recovering the target medical image to a scheduling center, wherein the scheduling center corresponds to a plurality of sharing doctors, and each sharing doctor is provided with a corresponding processable item;
and screening order transferring doctors of the target medical images from the sharing doctors according to the target items of the target medical images, the processable items of the sharing doctors and the current to-be-processed resource amount of the sharing doctors, and distributing the target medical images to corresponding order transferring doctor terminals.
2. The method for processing medical images according to claim 1, wherein the allocating the target medical image to an initial doctor terminal corresponding to the target medical image specifically comprises:
acquiring order data corresponding to the target medical image, wherein the order data comprise a plurality of order items and a film reading doctor corresponding to each order item, and the order items comprise the target items;
and determining the film reading doctor corresponding to the target item as an initial doctor of the target medical image, and distributing the target medical image to the initial doctor terminal.
3. The method for processing medical images according to claim 1 or 2, wherein the step of screening the order-changing doctors of the target medical image among the sharing doctors according to the target item of the target medical image, the processable item of the sharing doctors and the current amount of resources to be processed of the sharing doctors comprises:
determining that the sharing doctor of the processable item and the target item is the first candidate doctor;
and determining a transfer doctor in the first candidate doctors according to the first current resource amount to be processed of the first candidate doctor and a first reading speed, wherein the first reading speed is determined by counting the historical working records of the first candidate doctor.
4. The method for processing medical images according to claim 1, further comprising, after the allocating the target medical image to the corresponding order-changing doctor terminal:
if the target medical image is detected to be processed, locking the target medical image in the order transferring doctor terminal, wherein the locked medical image cannot be recycled;
and if the target medical image is not processed after the second preset time is detected, recovering the target medical image to the dispatching center.
5. The method for processing medical images according to claim 1, further comprising, before said assigning the target medical image to the corresponding initial doctor terminal:
extracting a tissue contour corresponding to a tissue to be analyzed from the target medical image, and determining a tissue range to be analyzed by using the tissue contour;
analyzing the movement speed and the movement distance of the tissue to be analyzed in a plurality of different directions within the range of the tissue to be analyzed, respectively comparing the movement speed with a preset reference movement speed of a reference medical image, and comparing the movement distance with a reference movement distance of the reference medical image to obtain a tissue lesion pre-analysis result;
filling a preset report template according to the tissue lesion pre-analysis result to obtain a pre-analysis report;
the allocating the target medical image to an initial doctor terminal corresponding to the target medical image further includes:
and sending the pre-analysis result and the pre-analysis report to the initial doctor terminal.
6. The method for processing medical images according to claim 1, further comprising, before said assigning the target medical image to the corresponding initial doctor terminal:
extracting the contour of a tissue to be analyzed in a target medical image, and determining a point with a motion track change larger than a preset threshold value on the contour as a control point, wherein the point with the motion track change smaller than the preset threshold value is a non-control point;
determining a first displacement of the control point by using an affine transformation method, and determining a second displacement of the non-control point according to the first displacement by using a warping nonlinear transformation method;
and performing curve fitting on the first displacement and the second displacement by utilizing a cubic spline interpolation method, determining target displacement of the tissue to be analyzed according to the fitted curve, and performing coordinate transformation on the target medical image according to the target displacement.
7. The method for processing medical images according to claim 1, wherein before distributing the target medical image to the corresponding initial doctor terminal, the method further comprises:
if the current to-be-processed workload of the ordering doctor corresponding to the target medical image is less than a preset workload threshold, taking the doctor terminal corresponding to the ordering doctor as the initial doctor terminal;
if the current to-be-processed workload of the ordering doctor is greater than or equal to the preset workload threshold, screening a second candidate doctor in each doctor according to the target project and the processable project of each doctor in a preset initial doctor group, wherein the doctors in the initial doctor group and the ordering doctor belong to the same mechanism;
and determining the initial doctor in the second candidate doctors according to a second current to-be-processed workload of the second candidate doctors and a second film reading speed, and taking a doctor terminal corresponding to the initial doctor as the initial doctor terminal, wherein the second film reading speed is determined by counting historical work records of the second candidate doctors.
8. An apparatus for processing medical images, the apparatus comprising:
the first distribution module is used for receiving a target medical image and distributing the target medical image to an initial doctor terminal corresponding to the target medical image;
the first recovery module is used for monitoring the processing progress of the target medical image, and if the target medical image is not processed after monitoring for a first preset time, recovering the target medical image to a scheduling center, wherein the scheduling center corresponds to a plurality of sharing doctors, and each sharing doctor is provided with a corresponding processable item;
the acquisition module is further used for acquiring the processing information of the first terminal when the timing duration reaches a preset duration threshold;
and the second distribution module is used for screening order transfer doctors of the target medical images from the sharing doctors according to the target items of the target medical images, the processable items of the sharing doctors and the current to-be-processed resource amount of the sharing doctors, and distributing the target medical images to corresponding order transfer doctor terminals.
9. A readable storage medium on which a program or instructions are stored, which when executed by a processor implement the steps of the method of processing medical images of any one of claims 1 to 7.
10. A computer device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the method for processing medical images according to any one of claims 1 to 7 when executing the program.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115019972A (en) * | 2022-06-09 | 2022-09-06 | 雅图(重庆)医疗器械有限公司 | Medical image data sharing system based on big data analysis |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130018674A1 (en) * | 2010-04-01 | 2013-01-17 | Ricky Bedi | System and method for radiology workflow management and a tool therefrom |
| CN109637640A (en) * | 2018-11-21 | 2019-04-16 | 北京春雨天下软件有限公司 | A kind of time-out intelligent change the place of examination method, system, computer equipment and readable medium |
| CN112132395A (en) * | 2020-08-25 | 2020-12-25 | 北京三快在线科技有限公司 | Order sending method and device, storage medium and electronic equipment |
| CN112785013A (en) * | 2021-01-26 | 2021-05-11 | 北京嘀嘀无限科技发展有限公司 | Work order processing method and device, electronic equipment and storage medium |
| CN113823421A (en) * | 2021-08-20 | 2021-12-21 | 武汉心络科技有限公司 | Information providing method, device, equipment and storage medium |
-
2022
- 2022-01-18 CN CN202210057038.7A patent/CN114464300A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130018674A1 (en) * | 2010-04-01 | 2013-01-17 | Ricky Bedi | System and method for radiology workflow management and a tool therefrom |
| CN109637640A (en) * | 2018-11-21 | 2019-04-16 | 北京春雨天下软件有限公司 | A kind of time-out intelligent change the place of examination method, system, computer equipment and readable medium |
| CN112132395A (en) * | 2020-08-25 | 2020-12-25 | 北京三快在线科技有限公司 | Order sending method and device, storage medium and electronic equipment |
| CN112785013A (en) * | 2021-01-26 | 2021-05-11 | 北京嘀嘀无限科技发展有限公司 | Work order processing method and device, electronic equipment and storage medium |
| CN113823421A (en) * | 2021-08-20 | 2021-12-21 | 武汉心络科技有限公司 | Information providing method, device, equipment and storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115019972A (en) * | 2022-06-09 | 2022-09-06 | 雅图(重庆)医疗器械有限公司 | Medical image data sharing system based on big data analysis |
| CN115019972B (en) * | 2022-06-09 | 2024-03-15 | 韦涛 | Medical image data sharing system based on big data analysis |
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