Tagged Cardiac MR Image Segmentation By Contrast Enhancement and Tezture Analysis

摘要：

Based on contrast enhancement and texture analysis, an automatic segmentation of the left ventricle in 2D tagged MR images is presented in this paper. Incorporating histogram modification and local contrast enhancement is applied as a method for improving contrast between tagged lines and nontagged tissue. The ventricular blood filled and tagged regions are isolated by subtracting gray minimum from maximum within a small window. The feature value is large for textured region and small for homogeneous region. Media filter is used to effectively remove the influence of the tagged lines. Finally, GVF-snake model is applied to extract the boundary of the left ventricle. Experimental results show that the proposed method can effectively extract the endocardiac boundary of the left ventricle.

关键词： tagged MR image contrast enhancement tezture analysis image segmentation.

作者: Xiaomei Yang Kenya Murase

作者单位: College of Electrical Engineering and Information Technology,Sichuan University,24 South Section 1,Y Department of Medical Physics and Engineering,Division of Medical Technology and Science,Faculty of

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 3438-3442

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）