Method and system for training limb part recognition model in CT (Computed Tomography) image

A technology for identifying models and CT images, applied in the field of medical image recognition, can solve problems such as misdetection of inspection parts, and achieve the effect of avoiding poor recognition accuracy

Active Publication Date: 2022-01-28
青岛美迪康数字工程有限公司
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Problems solved by technology

In the CT extremities inspection, the inspection part identification recorded in the generated Dicom file is the extremity, and the current part is not clearly identified as the left and right hands, left and right legs, left and right feet and other specific parts, which will cause false detection of the inspection parts

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  • Method and system for training limb part recognition model in CT (Computed Tomography) image
  • Method and system for training limb part recognition model in CT (Computed Tomography) image
  • Method and system for training limb part recognition model in CT (Computed Tomography) image

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Embodiment Construction

[0023] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0024] In a first aspect, the present invention provides a method for training a body part recognition model in a CT image, see figure 1 , the method includes the following steps S110~S130:

[0025] S110, acquiring a CT positioning film image;

[0026] It is understandable that the CT image has corresponding basic information of the Dicom f...

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Abstract

The invention relates to the technical field of medical image recognition, and provides a method and a system for training a limb part recognition model in a CT (Computed Tomography) image. The method comprises the following steps of: acquiring a CT positioning sheet image; acquiring a CT thin-layer sequence image, and performing maximum density projection reconstruction on the CT thin-layer sequence image to obtain a three-dimensional maximum density projection image; generating a plurality of two-dimensional maximum density projection images corresponding to a plurality of visual angles from the three-dimensional maximum density projection image; and carrying out model training by adopting the CT positioning sheet image and the two-dimensional maximum density projection image to obtain a limb part identification model. The system comprises a first acquisition module, a second acquisition module and a model training module. According to the invention, training samples are supplemented through a maximum-density projection image, so that the problem of insufficient training samples is solved.

Description

technical field [0001] The invention relates to the technical field of medical image recognition, in particular to a method and system for training a body part recognition model in CT images. Background technique [0002] The quality of medical imaging directly affects the doctor's diagnosis, and it is of great significance to check whether the body position is correct as the most basic content of the medical imaging quality evaluation standard. In the CT extremities inspection, the inspection site identification recorded in the generated Dicom file is the extremity, and the current site is not clearly identified as the left and right hands, left and right legs, left and right feet, etc., which will cause false detection of the inspection site. Contents of the invention [0003] In order to solve the above-mentioned technical problems or at least partly solve the above-mentioned technical problems, the present invention provides a method and system for training a body part...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00G06N3/04G06N3/08
CPCG06T11/003G06N3/04G06N3/084
Inventor 陈栋栋冯健赖永航曹鸥
Owner 青岛美迪康数字工程有限公司
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