Probabilistic 4D Blood Flow Mapping

摘要：

Blood flow and tissue velocity can be measured using phasecontrast MRI. In this work, the statistical properties of 4D phase-contrast images are derived, and a novel probabilistic blood flow mapping method based on sequential Monte Carlo sampling is presented. The resulting flow maps visualize and quantify the uncertainty in conventional flow visualization techniques such as streamlines and particle traces.

作者: Ola Friman Anja Hennemuth Andreas Harloff Jelena Bock Michael Markl Heinz-Otto Peitgen

作者单位: Fraunhofer MEVIS, Institute for Medical Image Computing, Germany University Hospital Freiburg, Germany

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: 416–423

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）