Collaborative Tracking for MRI-Guided Robotic Intervention on the Beating Heart

摘要：

Magnetic Resonance Imaging (MRI)-guided robotic interventions for aortic valve repair promise to dramatically reduce time and cost of operations when compared to endoscopically guided (EG) procedures. A challenging issue is real-time and robust tracking of anatomical landmark points. The interventional tool should be constantly adjusted via a closed feedback control loop to avoid harming these points while valve repair is taking place in the beating heart. A Bayesian network of particle filter trackers proves capable to produce real-time, yet robust behavior. The algorithm is extremely flexible and general -more sophisticated behaviors can be produced by simply increasing the cardinality of the tracking network. Experimental results on 16 MRI cine sequences highlight the promise of the method.

作者: Y.Zhou E.Yeniaras P.Tsiamyrtzis N.Tsekos I.Pavlidis

作者单位: Department of Computer Science, University of Houston, Houston, TX 77024, USA Department of Statistics, Athens University of Economics, Athens 10434, Greece

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: 351–358

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）