发明名称 |
VESSEL TREE TRACKING IN ANGIOGRAPHY VIDEOS |
摘要 |
A method for tracking vessels in image data includes receiving a plurality of image frames and annotating a target vessel in the plurality of image frames. A plurality of tracking targets associated with the target vessel is selected based on a first image frame included in the plurality of image frames. For each respective image frame, a set of tracking points are determined according to a tracking algorithm which includes: selecting a plurality of landmark hypothesis points for each tracking target in the respective frame based on a comparison with a previous image frame, constructing a directed acyclic graph from the plurality of landmark hypothesis points, and solving the directed acyclic graph to yield a plurality of optimal landmarks for the respective image frame. |
申请公布号 |
US2016235388(A1) |
申请公布日期 |
2016.08.18 |
申请号 |
US201514669428 |
申请日期 |
2015.03.26 |
申请人 |
Siemens Aktiengesellschaft |
发明人 |
Zhang Dong;Sun Shanhui;Wu Ziyan;Chen Bor-Jeng;Meyer Andreas;Chen Terrence |
分类号 |
A61B6/00;G06T11/20;G06T7/20 |
主分类号 |
A61B6/00 |
代理机构 |
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代理人 |
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主权项 |
1. A method for tracking vessels in image data, the method comprising:
receiving a plurality of image frames; annotating a target vessel in the plurality of image frames; selecting a plurality of tracking targets associated with the target vessel based on a first image frame included in the plurality of image frames; for each respective image frame, determining a set of tracking points according to a tracking algorithm comprising:
selecting a plurality of landmark hypothesis points for each tracking target in the respective frame based on a comparison with a previous image frame,constructing a directed acyclic graph from the plurality of landmark hypothesis points, andsolving the directed acyclic graph to yield a plurality of optimal landmarks for the respective image frame;wherein the plurality of landmark hypothesis points for each tracking target in the respective image frame is determined by generating a unary score for each node in the directed acyclic graph based on the respective image frame and the previous image frame. |
地址 |
Munich DE |