Automatic Breast DCE-MRI Segmentation Using Compound Morphological Operations

摘要：

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is an evolving tool for determining breast diseases. Assisted with computer-aided methods (CAD), DCE-MRI demonstrates its efficiency on breast cancer diagnosis. A crucial step for automatic DCE-MRI analysis is to separate breast regions from the noise-corrupted background on DCE-MRI images. In this paper, we presented an automatic algorithm for breast segmentation of sagittal DCE-MRI sequences. To separate the background, the images were converted into binary images. Multiple morphological operations were then applied to remove the undesired noise and artifacts. To separate the breast regions from the chests, a chest contour mask was generated based on the overlap of the whole sequences. The mask was applied on each frame to exclude the chest region. The method was validated against manual segmentation and evaluated with different performance indexes. Our results demonstrate a high accuracy of the method compared with the manual segmentations.

关键词： DCE-MRI Breast Segmentation Morphological Operations

作者: Yanli Tan Li Liu Qingqing Liu Jian Wang Xueyun Ma Hairi Ni

作者单位: School of Elec.& Info. Eng.Tianjin University Tianjin, China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 149-152

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）