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Organ contour line quality evaluation method, device and system

A quality assessment and contour line technology, applied in the field of medical imaging, can solve the problems of low accuracy of contour line evaluation results, insufficient evaluation of local details of contour lines, insufficient utilization of image attributes, etc., so as to improve the speed of contour quality evaluation and solve image problems Effects of property underutilization

Active Publication Date: 2021-07-20
MANTEIA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Embodiments of the present invention provide a method, device, and system for assessing the quality of organ contour lines, to at least solve the problem of insufficient use of image attributes in the vicinity of the contour lines in the existing organ contour line quality assessment methods, so as to evaluate the local details of the contour lines. Insufficient, resulting in a technical problem with low accuracy of the evaluation results of the contour line

Method used

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  • Organ contour line quality evaluation method, device and system
  • Organ contour line quality evaluation method, device and system

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Embodiment 1

[0040] According to an embodiment of the present invention, a method embodiment of a method for evaluating the quality of an organ contour line is provided. It should be noted that the steps shown in the flow charts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions , and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0041] figure 1 is an organ contour quality assessment method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0042] Step S102, acquiring a target image, wherein the target image includes a plurality of voxels, and the target image at least includes a medical image of the target organ and a contour line of the target organ;

[0043] The above-mentioned voxel is the abbreviation of volume element, w...

Embodiment 2

[0103] According to an embodiment of the present invention, an apparatus embodiment of an organ contour quality evaluation apparatus is provided. Such as Figure 11 As shown, the apparatus for evaluating the quality of club outlines includes: an acquisition module 110 , a division module 112 , a calculation module 114 and an evaluation module 116 . specifically:

[0104] An acquisition module 110, configured to acquire a target image, wherein the target image includes a plurality of voxels, and the target image at least includes an image of a target organ and a contour line of the target organ;

[0105] A division module 112, configured to determine a first region and a second region in the target image according to the contour line, wherein the first region is located outside the region surrounded by the contour line, and the second region is located at Inside the area enclosed by the contour line;

[0106] A calculation module 114, configured to determine a first evaluati...

Embodiment 3

[0110] According to an embodiment of the present invention, a system embodiment of an organ contour quality assessment system is provided. The system includes:

[0111] An image acquisition device, configured to acquire a target image, wherein the target image includes a plurality of voxels, and the target image at least includes an image of the target organ and a contour line of the target organ;

[0112] A data processing device, configured to determine a first region and a second region in the target image according to the contour line, wherein the first region is located outside the region surrounded by the contour line, and the second region is located Inside the area surrounded by the contour line; determine the first evaluation index of the target attribute of the first area and the second evaluation index of the target attribute of the second area; according to the first evaluation index and the The second evaluation index determines the quality assessment result of t...

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Abstract

The invention discloses an organ contour line quality evaluation method, device and system. The method comprises the steps that a target image is acquired, the target image comprises a plurality of voxels, and the target image at least comprises a medical image of a target organ and a delineated contour line of the target organ; according to the contour line, a first area and a second area are determined in the target image, the first area is located on the outer side of an area surrounded by the contour line, and the second area is located on the inner side of the area surrounded by the contour line; then a first evaluation index of the target attribute of the first area and a second evaluation index of the target attribute of the second area are determined; and a quality evaluation result of the contour line is determined according to the first evaluation index and the second evaluation index, and the quality evaluation result is output. The method solves the technical problem that the accuracy of the evaluation result of the contour line is low due to insufficient local detail evaluation of the contour line due to insufficient utilization of the image attributes of the region near the contour line in the existing organ contour line quality evaluation method.

Description

technical field [0001] The present invention relates to the field of medical imaging, in particular to a method, device and system for evaluating the quality of organ contour lines. Background technique [0002] In fractionated radiotherapy, a patient's treatment plan is typically generated using planning CT prior to treatment. However, due to differences in fractionation caused by setup errors and patient anatomical variations, the plan generated before treatment may not be optimal on a given day during treatment. To visualize these changes and uncertainties, imaging techniques such as airborne cone-beam CT and magnetic resonance imaging (MRI) are routinely implemented in treatment rooms. Finer fractional change management introduces online adaptive replanning (OLAR), which uses imaging data from the day of treatment to optimize treatment planning based on real-time anatomy. [0003] Because OLAR must complete online planning while patients lie in the treatment couch wait...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/41
CPCG06T7/0012G06T7/13G06T7/41G06T2207/30168Y02P90/30
Inventor 徐寿平周琦超盛华山
Owner MANTEIA TECH CO LTD
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