CN-121983253-A - Medical image association labeling method and storage medium

CN121983253ACN 121983253 ACN121983253 ACN 121983253ACN-121983253-A

Abstract

The invention discloses a medical image association labeling method and a storage medium. The method comprises the steps of obtaining first medical image data of a target object, determining a plurality of second medical image data associated with the first medical image data and a first association relation between the first medical image data and each second medical image data according to a preset association matching rule, constructing an image group according to the first medical image data and the plurality of second medical image data, respectively determining image association identifications corresponding to each second medical image data according to the first association relation, and carrying out association display on the first medical image data and the plurality of second medical image data in the image group according to the image association identifications, so that automatic association matching, structured combination and accurate identification linkage display of medical images are realized, and diagnosis efficiency and image utilization effect are remarkably improved.

Inventors

ZHANG XINGLIN
LIU JIAQI
MA BINGQI
LIU YONGHUI

Assignees

上海影苗智能科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260330

Claims (10)

1. A medical image association labeling method, comprising: Acquiring first medical image data of a target object, and determining a plurality of second medical image data associated with the first medical image data and a first association relation between the first medical image data and each second medical image data according to a preset association matching rule; Constructing an image group according to the first medical image data and the plurality of second medical image data, and respectively determining an image association identifier corresponding to each second medical image data according to the first association relationship; And carrying out association display on the first medical image data and a plurality of second medical image data in the image group according to the image association identifier.
2. The method of claim 1, wherein the association matching rule comprises a plurality of levels of sub-rules, wherein determining a first association between the first medical image data and the plurality of second medical image data according to a preset association matching rule comprises: For each piece of second medical image data, determining a target sub-rule corresponding to the first medical image data and the second medical image data from a plurality of levels of sub-rules, and determining a first association relation between the first medical image data and the second medical image data according to the target sub-rule.
3. The method according to claim 1, wherein the determining the image association identifier corresponding to each of the second medical image data according to the first association relationship includes: Determining a target matching degree corresponding to the image group according to the first medical image data, the plurality of second medical image data and the association matching rule; Under the condition that the target matching degree is larger than a preset confidence degree threshold value, first association identifications of the first medical image data and a plurality of second medical image data are established according to the first association relation; determining first sign information of the first medical image data, wherein the first sign information comprises an examination time and an object identification of the target object; Determining second sign information corresponding to the first sign information according to the historical medical image data, and determining a second association relation according to the first sign information and the second sign information; and determining an image association identifier according to the first association relationship and the second association relationship.
4. A method according to claim 3, wherein said determining a target match for the image set based on the first medical image data, the plurality of second medical image data and the association match rule comprises: determining a single matching degree of each piece of second medical image data and the first medical image data according to the association matching rule; determining a weight coefficient corresponding to each piece of second medical image data according to the severity of the focus in each piece of second medical image data; And determining initial matching degree according to the single matching degree and the weight coefficient corresponding to each piece of second medical image data, and determining target matching degree corresponding to the image group according to the initial matching degree of a plurality of pieces of second medical image data.
5. The method of claim 1, wherein the image association identifier includes at least an association priority, an association type, and an examination time, wherein the associating the first medical image data and the plurality of second medical image data in the image group according to the image association identifier includes at least one of: Classifying each second medical image data according to the associated priority according to the image associated identifier, and preferentially displaying the second medical image data with the highest associated priority; dividing a plurality of second medical image data under the same association priority into display groups of target quantity according to association types, and performing association display on the second medical image data in the display groups according to preset rules, wherein the association types comprise direct pathology and indirect complications; And sorting the plurality of second medical image data according to the examination time, and carrying out association display according to the sorted result.
6. The method according to claim 1, wherein said associating the first medical image data and the plurality of second medical image data in the image group according to the image association identifier comprises: And constructing a knowledge graph by taking the thumbnail of the first medical image data and a plurality of pieces of the second medical image data as nodes and taking the image association mark as a side, and displaying the knowledge graph.
7. The method of claim 1, wherein the association matching rule comprises at least one of: The second medical image data and the first medical image data comprise image information of the same part of the target object, and the second medical image data and the first medical image data are acquired based on different types of medical imaging equipment; there are indirect complications of a lesion site of a plurality of the medical image data.
8. The method of claim 1, further comprising, after said associating presentation of said first medical image data and a plurality of said second medical image data in said image group according to said image association identifier: adding first annotation information in the first medical image data in response to an annotation operation for the first medical image data, and adding second annotation information and source information of the second annotation information in at least part of the second medical images of the image group according to the first annotation information; In response to a labeling operation for third medical image data, adding first labeling information in the third medical image data, and adding second labeling information and source information of the second labeling information in at least part of fourth medical image data according to the first labeling information, wherein the third medical image data is the first medical image data or the second medical image data, and the fourth medical image data comprises medical image data except the third medical image data in the image group.
9. The method of claim 8, further comprising, after said associating presentation of said first medical image data and a plurality of said second medical image data in said image group according to said image association identifier: Responding to the change of the first labeling information, and updating the second labeling information according to the changed first labeling information, or And responding to the change of the second annotation information, and updating the first annotation information according to the changed second annotation information.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the medical image association labeling method of any of claims 1-9 when executed.

Description

Medical image association labeling method and storage medium Technical Field The invention relates to the technical field of image processing, in particular to a medical image association labeling method and a storage medium. Background With the popularization of medical imaging equipment, the explosive growth of multi-mode and multi-time sequence image data is carried out, and the clinical urgent need is to efficiently integrate associated images to assist in accurate diagnosis and treatment decision. The existing scheme relies on manual screening or is used for checking time matching associated images through simple file names, and lacks intelligent association rules based on image content. The doctor or professional technician needs to switch among a plurality of independent windows to view different sequences or modal images, the operation is complex, key associated information is easy to miss, and focus evolution or cross-modal characteristic corresponding relation is difficult to intuitively grasp. Disclosure of Invention The invention provides a medical image association labeling method and a storage medium, which are used for solving the problem that the multi-source medical image association display is broken and the focus evolution is difficult to grasp intuitively. According to an aspect of the present invention, there is provided a medical image association labeling method, which is characterized by comprising: Acquiring first medical image data of a target object, and determining a plurality of second medical image data associated with the first medical image data and a first association relation between the first medical image data and each second medical image data according to a preset association matching rule; Constructing an image group according to the first medical image data and the plurality of second medical image data, and respectively determining an image association identifier corresponding to each second medical image data according to the first association relationship; And carrying out association display on the first medical image data and a plurality of second medical image data in the image group according to the image association identifier. According to another aspect of the present invention, there is provided a medical image association labeling apparatus, comprising: The first association relation determining module is used for acquiring first medical image data of a target object, and determining a plurality of second medical image data associated with the first medical image data and a first association relation between the first medical image data and each second medical image data according to a preset association matching rule; The association identifier determining module is used for constructing an image group according to the first medical image data and the plurality of second medical image data, and respectively determining an image association identifier corresponding to each second medical image data according to the first association relation; and the display module is used for carrying out association display on the first medical image data and the plurality of second medical image data in the image group according to the image association identifier. According to another aspect of the present invention, there is provided an electronic apparatus including: at least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the medical image association labeling method of any of the embodiments of the present invention. According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the medical image association labeling method according to any of the embodiments of the present invention when executed. According to another aspect of the present invention, the disclosed embodiments also provide a computer program product comprising a computer program which, when executed by a processor, implements the medical image associated labeling method according to any of the disclosed embodiments. According to the technical scheme, through obtaining first medical image data of a target object, determining a plurality of second medical image data associated with the first medical image data and a first association relation between the first medical image data and each second medical image data according to a preset association matching rule, matching associated medical images and determining the association relation, improving image association efficiency, then constructing an image group according to the first medical image data and the plurality of second medical image data, respectively determining image association identifications corresponding to each second medical image data according to the first