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 代理人
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