Tract-Based Probability Densities of Diffusivity Measures in DT-MRI

摘要：

We evaluate probability density functions of diffusivity measures in DTI fiber tracts as biomarkers. For this, we estimate univariate and bivariate densities, such as joint probability densities of the tract arc length and FA, MD, RD, and AD, in the transcallosal fibers in the brain. We demonstrate the utility of estimated densities in hypothesis testing of differences between a group of patients with VCI and a control group. We also use the estimated densities in classifying individual subjects in these two groups. Results show that these estimates and derived quantities, such as entropy, can detect group differences with high statistical power as well as help obtain low classification errors.

作者: Cagatay Demiralp David H.Laidlaw

作者单位: Brown University, USA

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: 542-549

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）