CN114974524A - Medical image data annotation method and device - Google Patents
Medical image data annotation method and device Download PDFInfo
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- CN114974524A CN114974524A CN202210636045.2A CN202210636045A CN114974524A CN 114974524 A CN114974524 A CN 114974524A CN 202210636045 A CN202210636045 A CN 202210636045A CN 114974524 A CN114974524 A CN 114974524A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
Abstract
The present disclosure provides a method and apparatus for annotating medical image data. The method comprises the steps of obtaining a target medical image; identifying the attribute category of the target medical image, and creating first attribute type information for the target medical image according to the identified attribute category; acquiring an operation instruction, wherein the operation instruction carries instruction information, position information and annotation information; the instruction information is used for indicating that a target area is identified in the target medical image, and the position information is used for determining the position of the target area in the target medical image; the annotation information is used for indicating that the target area is annotated; determining the position of the target area in the target medical image according to the position information; wherein the target region is a region of interest in the target medical image; and adding the annotation to the target area according to the annotation information. The annotation method of the medical image data can solve the problem that the read medical image cannot be subjected to multifunctional information annotation in the prior art.
Description
Technical Field
The present disclosure relates to the field of medical image technologies, and in particular, to a method and an apparatus for annotating medical image data.
Background
Although methods for classifying medical images, performing target recognition, text recognition and the like exist in the prior art, the conventional annotation platform cannot read medical images in various formats, has a very limited annotation function on the medical images, and cannot effectively arrange medical image data.
Disclosure of Invention
The present disclosure is directed to overcome the deficiencies of the prior art and provide a method and an apparatus for annotating medical image data, which solve the problem in the prior art that a read medical image cannot be annotated with multifunctional information.
According to a first aspect of embodiments of the present disclosure, there is provided a method for annotating medical image data, the method including:
acquiring a target medical image;
identifying the attribute category of the target medical image, and creating first attribute type information for the target medical image according to the identified attribute category;
acquiring an operation instruction, wherein the operation instruction carries instruction information, position information and annotation information; the instruction information is used for indicating that a target area is identified in the target medical image, and the position information is used for determining the position of the target area in the target medical image; the annotation information is used for indicating that the target area is annotated;
determining the position of the target area in the target medical image according to the position information; wherein the target region is a region of interest in the target medical image;
and adding an annotation to the target area according to the annotation information.
In one embodiment of the present invention,
before adding an annotation to the target region according to the annotation information, the method further comprises:
and creating second attribute type information for the target area.
In one embodiment of the present invention,
the determining the position of the target area in the target medical image according to the position information includes:
determining a preset target area in the target medical image according to the instruction information;
and determining the position of the target area in the target medical image according to the position information in the preset target area.
In one embodiment, the determining a preset target region in the target medical image according to the instruction information includes:
finding out at least a first pixel point, a second pixel point, a third pixel point and a fourth pixel point on the target medical image according to the instruction information; the abscissa of the first pixel point is the same as that of the second pixel point, and the abscissa of the third pixel point is the same as that of the fourth pixel point;
and determining the preset target area in the target medical image according to the first pixel point, the second pixel point, the third pixel point and the fourth pixel point.
In one embodiment, the determining a preset target region in the target medical image according to the instruction information includes:
finding out at least a first pixel point, a second pixel point, a third pixel point and a fourth pixel point on the target medical image according to the instruction information; the abscissa of the first pixel point is the same as that of the second pixel point, and the abscissa of the third pixel point is the same as that of the fourth pixel point;
and determining the preset target area in the target medical image according to the first pixel point, the second pixel point, the third pixel point and the fourth pixel point.
In one embodiment, the determining, according to the position information, the position of the target area in the target medical image in the preset target area includes:
finding out a fifth pixel point, a sixth pixel point, a seventh pixel point and an eighth pixel point in the preset target area according to the position information; the abscissa of the fifth pixel point is the same as that of the sixth pixel point, and the abscissa of the seventh pixel point is the same as that of the eighth pixel point;
and determining the position of the target area in the target medical image according to the fifth pixel point, the sixth pixel point, the seventh pixel point and the eighth pixel point in the preset target area.
In one embodiment, the method further comprises:
and coding the target medical image added with the annotation to generate a coding file and export the coding file.
According to a second aspect of the embodiments of the present disclosure, there is provided a medical image data processing apparatus, the apparatus including:
the first acquisition module is used for acquiring a target medical image; wherein the target medical image is a medical image to be processed;
the processing module is used for identifying the attribute category of the target medical image and creating first attribute type information for the target medical image according to the identified attribute category;
the second obtaining module is used for obtaining an operation instruction, wherein the operation instruction carries instruction information, position information and annotation information, the instruction information is used for indicating that a target area is identified in the target medical image, and the position information is used for determining the position of the target area in the target medical image; the annotation information is used for indicating that the target area is annotated;
the determining module is used for determining the position of the target area in the target medical image according to the position information; wherein the target region is a region of interest in the target medical image;
and the annotation module is used for adding annotations to the target area according to the annotation information.
In one embodiment, the processing module comprises:
the identification submodule identifies the attribute category of the target medical image;
and the creating sub-module is used for creating first attribute type information for the target medical image according to the identified attribute type.
In one embodiment, the apparatus further comprises:
and the creating module is used for creating second attribute type information for the target area.
According to the annotation method for medical image data, provided by the embodiment of the disclosure, the target medical image is obtained first, the attribute category of the target medical image is identified, the first attribute type information is created for the target medical image according to the identified attribute category, the operation instruction is obtained next, the position of the target region in the target medical image is determined according to the position information carried in the operation instruction, and the annotation is added to the target region according to the annotation information carried in the operation instruction, so that the read medical image can be subjected to multifunctional information annotation, including image classification annotation, image region-of-interest annotation and the like, and the sorting capability of the medical image data is effectively improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a flowchart of a method for annotating medical image data according to an embodiment of the present disclosure.
Fig. 2 is a flowchart of a method for annotating medical image data according to an embodiment of the present disclosure.
Fig. 3 is a flowchart of a method for annotating medical image data according to an embodiment of the present disclosure.
Fig. 4 is a flowchart of a method for annotating medical image data according to an embodiment of the present disclosure.
Fig. 5 is a flowchart of a method for annotating medical image data according to an embodiment of the present disclosure.
Fig. 6 is a device diagram of a method for annotating medical image data according to an embodiment of the present disclosure.
Fig. 7 is a device diagram of a method for annotating medical image data according to an embodiment of the present disclosure.
Fig. 8 is an architecture diagram of an annotation device for medical image data according to an embodiment of the disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of devices and apparatus consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a flowchart of a method for annotating medical image data according to an embodiment of the present disclosure. As shown in fig. 1, the method includes:
in this step, in order to diagnose a disease in a patient, it is necessary to perform an image examination on the patient, for example: the medical images are generated after the patient is examined by the X-ray imaging system, the computed tomography system, the magnetic resonance imaging system, the nuclear medicine system and the like, and the medical images are stored in a preset database.
in this step, the target medical image is identified in advance, and the attribute category corresponding to the target medical image is determined, so that the category to which the target medical image belongs is determined quickly. For example, by recognizing the target medical image, it may be determined that the category of the target medical image is head CT, so as to quickly determine a medical image recognition model corresponding to the target medical image from preset medical image neural models, thereby simplifying medical image data processing time.
103, acquiring an operation instruction, wherein the operation instruction carries instruction information, position information and annotation information; the instruction information is used for indicating that a target area is identified in the target medical image, and the position information is used for determining the position of the target area in the target medical image; the annotation information is used for indicating that the target area is annotated;
in this step, the instruction information may be information obtained by operating a keyboard, a mouse, or a touch display screen by the identified user.
104, determining the position of the target area in the target medical image according to the position information; wherein the target region is a region of interest in the target medical image;
fig. 2 is a flowchart of a method for annotating medical image data according to an embodiment of the present disclosure. As shown in fig. 2, the determining the position of the target region in the target medical image according to the position information includes:
fig. 3 is a flowchart of a method for annotating medical image data according to an embodiment of the present disclosure. As shown in fig. 3, the determining a preset target region in the target medical image according to the instruction information includes:
Fig. 4 is a flowchart of a method for annotating medical image data according to an embodiment of the present disclosure. As shown in fig. 4, the determining the preset target region in the target medical image according to the first pixel, the second pixel, the third pixel, and the fourth pixel includes:
Fig. 5 is a flowchart of a method for annotating medical image data according to an embodiment of the present disclosure. As shown in fig. 5, the determining the position of the target area in the target medical image in the preset target area according to the position information includes:
And 105, adding a comment to the target area according to the comment information.
In this step, the annotation information may be text information, or may be video or audio information.
According to the annotation method for medical image data, provided by the embodiment of the disclosure, the target medical image is obtained first, the attribute category of the target medical image is identified, the first attribute type information is created for the target medical image according to the identified attribute category, the operation instruction is obtained next, the position of the target area in the target medical image is determined according to the position information carried in the operation instruction, and the annotation is added to the target area according to the annotation information carried in the operation instruction, so that the read medical image can be subjected to multifunctional information annotation, including image classification annotation, image region-of-interest annotation and the like, and the sorting capability of the medical image data is effectively improved.
Optionally, before adding an annotation to the target region according to the annotation information, the method further includes:
and creating second attribute type information for the target area.
It should be noted that the second attribute type information may be the same as or different from the first attribute type information. When the second attribute type information is different from the first attribute type information, the second attribute type information may be more specifically defined and described in a lower level of the target medical image.
Optionally, the method further comprises:
and coding the target medical image added with the annotation to generate a coding file and export the coding file.
In this step, the target medical image is encoded to generate an encoded file and export the encoded file, so that the image analysis result corresponding to the target medical image is displayed on a display for a doctor to look up.
Fig. 6 is an architecture diagram of an annotating device for medical image data according to an embodiment of the present disclosure. As shown in fig. 6, the apparatus includes a first obtaining module 601, a processing module 602, a second obtaining module 603, a determining module 604, and a annotating module 605; the first obtaining module 601 is configured to obtain a target medical image; wherein the target medical image is a medical image to be processed; the processing module 602 is configured to identify an attribute category of the target medical image, and create first attribute type information for the target medical image according to the identified attribute category; the second obtaining module 603 is configured to obtain an operation instruction, where the operation instruction carries instruction information, position information, and annotation information, the instruction information is used to indicate that a target region is identified in the target medical image, and the position information is used to determine a position of the target region in the target medical image; the annotation information is used for indicating that the target area is annotated; the determining module 605 determines the position of the target region in the target medical image according to the position information; wherein the target region is a region of interest in the target medical image; and the annotation module is used for adding annotations to the target area according to the annotation information.
Fig. 7 is an architecture diagram of an annotation device for medical image data according to an embodiment of the disclosure. As shown in fig. 7, the apparatus includes a first obtaining module 701, a processing module 702, a second obtaining module 703, a determining module 704, and an annotating module 705; wherein, the processing module 702 comprises an identification sub-module 7021 and a creation sub-module 7022; the identification submodule 7021 is configured to identify an attribute category of the target medical image; the creating sub-module 7022 is configured to create first attribute type information for the target medical image according to the identified attribute type.
Fig. 8 is an architecture diagram of an annotation device for medical image data according to an embodiment of the disclosure. As shown in fig. 8, the apparatus includes a first obtaining module 801, a processing module 802, a second obtaining module 803, a determining module 804, a creating module 805, and an annotating module 806; the creating module 805 is configured to create second attribute type information for the target area.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The aforementioned program may be preset in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method for annotating medical image data, the method comprising:
acquiring a target medical image;
identifying the attribute category of the target medical image, and creating first attribute type information for the target medical image according to the identified attribute category;
acquiring an operation instruction, wherein the operation instruction carries instruction information, position information and annotation information; the instruction information is used for indicating that a target area is identified in the target medical image, and the position information is used for determining the position of the target area in the target medical image; the annotation information is used for indicating that the target area is annotated;
determining the position of the target area in the target medical image according to the position information; wherein the target region is a region of interest in the target medical image;
and adding an annotation to the target area according to the annotation information.
2. The method of claim 1, wherein prior to adding annotations to the target region according to the annotation information, the method further comprises:
and creating second attribute type information for the target area.
3. The method according to claim 1 or 2, wherein the determining the position of the target region in the target medical image according to the position information comprises:
determining a preset target area in the target medical image according to the instruction information;
and determining the position of the target area in the target medical image according to the position information in the preset target area.
4. The method according to claim 3, wherein the determining a preset target region in the target medical image according to the instruction information comprises:
finding out at least a first pixel point, a second pixel point, a third pixel point and a fourth pixel point on the target medical image according to the instruction information; the abscissa of the first pixel point is the same as that of the second pixel point, and the abscissa of the third pixel point is the same as that of the fourth pixel point;
and determining the preset target area in the target medical image according to the first pixel point, the second pixel point, the third pixel point and the fourth pixel point.
5. The method of claim 4, wherein the determining the preset target region in the target medical image according to the first pixel, the second pixel, the third pixel and the fourth pixel comprises:
drawing a polygonal or circular area in the target medical image according to the first pixel point, the second pixel point, the third pixel point and the fourth pixel point;
and determining the preset target area according to the target polygon or the circular area.
6. The method according to claim 4, wherein the determining the position of the target area in the target medical image in the preset target area according to the position information comprises:
finding out a fifth pixel point, a sixth pixel point, a seventh pixel point and an eighth pixel point in the preset target area according to the position information; the abscissa of the fifth pixel point is the same as that of the sixth pixel point, and the abscissa of the seventh pixel point is the same as that of the eighth pixel point;
and determining the position of the target area in the target medical image according to the fifth pixel point, the sixth pixel point, the seventh pixel point and the eighth pixel point in the preset target area.
7. The method according to claim 1 or 2, characterized in that the method further comprises:
and coding the target medical image added with the annotation to generate a coding file and export the coding file.
8. A medical image data processing apparatus, characterized in that the apparatus comprises:
the first acquisition module is used for acquiring a target medical image; wherein the target medical image is a medical image to be processed;
the processing module is used for identifying the attribute category of the target medical image and creating first attribute type information for the target medical image according to the identified attribute category;
the second obtaining module is used for obtaining an operation instruction, wherein the operation instruction carries instruction information, position information and annotation information, the instruction information is used for indicating that a target area is identified in the target medical image, and the position information is used for determining the position of the target area in the target medical image; the annotation information is used for indicating that the target area is annotated;
the determining module is used for determining the position of the target area in the target medical image according to the position information; wherein the target region is a region of interest in the target medical image;
and the annotation module is used for adding annotations to the target area according to the annotation information.
9. The apparatus of claim 8, wherein the processing module comprises:
the identification submodule identifies the attribute category of the target medical image;
and the creating sub-module is used for creating first attribute type information for the target medical image according to the identified attribute type.
10. The apparatus of claim 8, further comprising:
and the creating module is used for creating second attribute type information for the target area.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210636045.2A CN114974524A (en) | 2022-06-07 | 2022-06-07 | Medical image data annotation method and device |
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| CN202210636045.2A CN114974524A (en) | 2022-06-07 | 2022-06-07 | Medical image data annotation method and device |
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| CN114974524A true CN114974524A (en) | 2022-08-30 |
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