Aortic CT image centerline determination method, system, device and medium

By using a keypoint detection model trained with a U-Net network and an asymptotically optimal fast random search tree algorithm, combined with the internal sphere correction method, the problems of insufficient accuracy and computational redundancy in centerline extraction of aortic CT images are solved, achieving efficient and accurate centerline extraction.

CN115908418BActive Publication Date: 2026-06-23BEIJING INST OF TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING INST OF TECH
Filing Date
2023-01-06
Publication Date
2026-06-23

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Abstract

The application relates to an aorta CT image center line determination method and system, electronic equipment and a computer readable storage medium, and relates to the field of CT image processing.The method comprises the following steps: inputting a three-dimensional aorta CT image to be detected into an aorta CT image key point detection model, and outputting a key point extraction result; the aorta CT image key point detection model is determined according to training of a U-Net network; the extracted key points are sequentially connected by using a progressive optimal fast random search tree algorithm; in the connecting process, a correction process is performed on sampling candidate points generated by random sampling; if the distance between the sampling candidate points located between two key points and any point outside the aorta is less than a set threshold value, an aorta inscribed sphere containing the sampling candidate points is formed, and the sphere center is taken as a connecting point between the two key points. The application improves the determination accuracy and efficiency of the aorta CT image center line.
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