Automatic Cardiac MRI Segmentation Using a Biventricular Deformable Medial Model

摘要：

We present a novel approach for automatic segmentation of the myocardium in short-axis MRI using deformable medial models with an explicit representation of thickness. Segmentation is constrained by a Markov prior on myocardial thickness. Best practices from Active Shape Modeling (global PCA shape prior, statistical appearance model, local search) are adapted to the medial model. Segmentation performance is evaluated by comparing to manual segmentation in a heterogeneous adult MRI dataset. Average boundary displacement error is under 1.4mm for left and right ventricles, comparing favorably with published work.

作者: Hui Sun Alejandro F.Frangi Hongzhi Wang Federico M.Sukno Catalina Tobon-Gomez Paul A.Yushkevich

作者单位: Penn Image Computing and Science Laboratory (PICSL), Department ofRadiology, University of Pennsylva Center for Computational Imaging & Simulation Technologies in Biomedicine,Universitat Pompeu Fabra, Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylv

会议类型: 国际会议

会议名称: The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention(第13届医学影像计算与计算机辅助介入国际会议 MICCAI 2010)

会议地点: 北京

会议语种:英文

页码: 468-475

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）