ODF Maxima Extraction in Spherical Harmonic Representation via Analytical Search Space Reduction

摘要：

By revealing complex fiber structure through the orientation distribution function (ODF), q-ball imaging has recently become a popular reconstruction technique in diffusion-weighted MRI. In this paper, we propose an analytical dimension reduction approach to ODF maxima extraction. We show that by expressing the ODF, or any antipodally symmetric spherical function, in the common fourth order real and symmetric spherical harmonic basis, the maxima of the two-dimensional ODF lie on an analytically derived one-dimensional space, from which we can detect the ODF maxima. This method reduces the computational complexity of the maxima detection, without compromising the accuracy. We demonstrate the performance of our technique on both artificial and human brain data.

作者: Iman Aganj Christophe Lenglet Guillermo Sapiro

作者单位: Department of Electrical and Computer Engineering, University of Minnesota, USA Department of Electrical and Computer Engineering, University of Minnesota, USACenter for Magnetic R

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: 84-91

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）