Multiple hypothesis template tracking of small 3D vessel structures
Multiple hypothesis template tracking of small 3D vessel structures
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DOI：
10.1016/j.media.2009.12.003
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发表时间：
2010-04-01
影响因子：
10.9
通讯作者：
Peitgen, Heinz-Otto
中科院分区：
文献类型：
--
作者：
Friman, Ola;Hindennach, Milo;Peitgen, Heinz-Otto
提出了一种多假设跟踪方法来分割小的3D血管结构。通过同时跟踪多个假设血管轨迹，可以遍历低对比度通道，从而改善低对比度区域中的跟踪性能。本文还提出了一种新的血管模板数学模型，利用该模型可以准确地提取血管中心线。跟踪是足够快的交互式分割，并可以与其他分割技术相结合，形成强大的混合方法。这是通过分割CT血管造影数据中的肝动脉（已知这会带来巨大挑战）和鹿特丹冠状动脉算法评估框架中的32个CT心脏血管造影数据集中的冠状动脉（可获得地面实况中心线）来证明的。(C)2009爱思唯尔有限公司版权所有。
A multiple hypothesis tracking approach to the segmentation of small 3D vessel structures is presented. By simultaneously tracking multiple hypothetical vessel trajectories, low contrast passages can be traversed, leading to an improved tracking performance in areas of low contrast. This work also contributes a novel mathematical vessel template model, with which an accurate vessel centerline extraction is obtained. The tracking is fast enough for interactive segmentation and can be combined with other segmentation techniques to form robust hybrid methods. This is demonstrated by segmenting both the liver arteries in CT angiography data, which is known to pose great challenges, and the coronary arteries in 32 CT cardiac angiography data sets in the Rotterdam Coronary Artery Algorithm Evaluation Framework, for which ground-truth centerlines are available. (C) 2009 Elsevier B.V. All rights reserved.