Measurement Selection in Untracked Freehand 3D Ultrasound

摘要：

In freehand 3D ultrasound, out-of-plane transducer motion can be estimated via speckle decorrelation instead of using a position tracking device. This approach was recently adapted to arbitrary media by predicting elevational decorrelation curves from local image statistics. However, such adaptive models tend to yield biased measurements in the presence of spatially persistent structures. To account for such failures, this paper introduces a new iterative algorithm for probabilistic fusion and selection of correlation measurements. In experiments with imagery of animal tissue, the approach yields significant accuracy improvements over alternatives which do not apply principled measurement selection.

作者: Catherine Laporte Tal Arbel

作者单位: Dept.of Electrical Engineering, ′ Ecole de Technologie Sup′erieure, Montr′eal, CanadaCentre for Inte Centre for Intelligent Machines, McGill University, Montr′eal, Canada

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: 127-134

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）