Enhancement of Human Cardiac DT-MRI Data Using Locally Adaptive Filtering

摘要：

A main source of problem in human cardiac diffusion tensor magnetic resonance imaging (DT-MRI) is the presence of high noise that buries useful information such as edges, details, and even whole objects. We propose a new enhancement approach based on the combined use of non-stationarity degree (NSD) notion and amoebas algorithm. The method consists of first calculating the NSD at each pixel of the diffusion weighted (DW) image, then introducing the NSD in the amoebas formulation, and finally determining the regions using the thus modified amoebas, inside which the pixels are averaged. The results obtained on human cardiac DW images show that edges and details in the DW images are almost preserved while the homogeneous regions are well smoothed, and that the resulting principle eigenvector field and fiber bundles are more coherent.

关键词： Non-Stationarity Cardiac imaging DT-MRI Enhancement Tensor

作者: Yan-Li Zhang Wan-Yu Liu Isabelle E.Magnin Yue-Min Zhu

作者单位: Dept.of Automation Measurement and Control, Harbin Institute of Technology, Harbin, China CREATIS-LRMN, CNRS UMR 5220, Inserm U630, INSA Lyon, Villeurbanne, France

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 744-747

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）