A Strain Energy Filter for 3D Vessel Enhancement

摘要：

The traditional Hessian-related vessel filters often suffer from the problem of handling non-cylindrical objects. To remedy the shortcoming, we present a shape-tuned strain energy density function to measure vessel likelihood in 3D images. Based on the tensor invariants and stress-strain principle in mechanics, a new shape discriminating and vessel strength measure function is formulated. The synthetical and clinical data experiments verify the performance of our method in enhancing complex vascular structures including branches, bifurcations, and feature details.

作者: Changyan Xiao Marius Staring Denis Shamonin Johan H.C.Reiber Jan Stolk Berend C.Stoel

作者单位: Division of Image Processing, Department of Radiology, Leiden University MedicalCenter, P.O.Box 9600 Division of Image Processing, Department of Radiology, Leiden University MedicalCenter, P.O.Box 9600 Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O.Box 960

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: 367–374

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）