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Computer-implemented method, apparatus, and medium for generating anatomical tags for physiological tree structure

A tree structure, computer technology, applied in the field of medical image processing and analysis, can solve the problem of low robustness of vascular labeling, and achieve the effect of improving performance

Active Publication Date: 2019-04-16
BEIJING CURACLOUD TECH CO LTD
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Problems solved by technology

These methods are also less robust to vessel annotation due to individual variability

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  • Computer-implemented method, apparatus, and medium for generating anatomical tags for physiological tree structure
  • Computer-implemented method, apparatus, and medium for generating anatomical tags for physiological tree structure
  • Computer-implemented method, apparatus, and medium for generating anatomical tags for physiological tree structure

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[0024] Hereinafter, the technical expression "feature extraction along the 3D skeleton line..." means that features are extracted at a series of parts along the 3D skeleton line for the 3D model of the physiological tree structure. Specifically, several parts may be sampled from the 3D model along the 3D skeleton line, each part having a corresponding local feature(s) of the 3D model. All (one or more) local features can then constitute features extracted along the 3D skeleton (of the physiological tree structure). And the technical term "medical image data of a physiological tree structure" means medical image data in which at least part of a physiological tree structure is included. For example, the medical image data may be a series of 2D slices of a vascular tree structure acquired by CT. For another example, the medical image data may be at least two 2D angiography images at different projection angles. For another example, medical image data of a physiological tree str...

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Abstract

The present disclosure relates to a computer-implemented method, apparatus, and medium for generating anatomical tags for a physiological tree structure. The method may include the steps of receivinga 3D model of the physiological tree structure and a 3D skeleton line, where the 3D model is reconstructed based on medical image data of the physiological tree structure acquired by an imaging device; selecting at least one level from the selectable levels of pools for extracting the geometric features; extracting geometric features by a processor from the 3D model of the physiological tree structure along the 3D skeletal line at a selected at least one selectable level; generating anatomical tags for the physiological tree structure by the processor using a trained learning network based onthe extracted geometric features. The method and the device can quickly, accurately and automatically generate the anatomical label for the physiological tree structure, so that the robustness and theaccuracy of automatic labeling are improved.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to U.S. Provisional Application No. 62 / 608,872, filed December 21, 2017, the entire contents of which are hereby incorporated by reference. technical field [0003] The present disclosure relates generally to medical image processing and analysis. More specifically, the present disclosure relates to methods and apparatus for generating anatomical labels for physiological tree structures. Background technique [0004] Blood vessels, tracheal pathways, etc. are hierarchical tree structures. Automatic identification and assignment of correct anatomical labels to these structures facilitates the diagnostic process for physicians and radiologists. Existing methods for automatically generating medical reports generally rely on the correct identification of anatomical labels (such as coronary vessels, bronchial tree, etc.) and the correct assignment of labels based on the identification. Di...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/049G06V2201/03G06F18/21G06F18/24G06F18/214
Inventor 武丹王昕尹游兵李育威曹坤琳宋麒欧阳滨梁舒怡
Owner BEIJING CURACLOUD TECH CO LTD
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