MR Image Segmentation Based on Modified Ant Colony Algorithm

摘要：

Magnetic resonance imaging (MRI) is a widely usedmethod to obtain high quality medical image of the brain. Post-processingMR images with segmentation algorithms enhancesthe visualization and measurement of soft tissues and lesions.However, the conventional algorithms are not perfect and thereare still some regions which are not partitioned accurately. Inthis paper, a new ant colony algorithm is presented in accordancewith the defect of previous variety and stagnation. The contrastexperimental results show that the new algorithm is not only ofhigher segmentation quality but also of higher computationalspeed, and prove that the algorithm is efficient and superior.

作者: WM Luo WW Liu ZW Shen JX Huang QC Qiu YW Chen RH Wu

作者单位: Engineering College of Shantou University, Shantou Guangdong, 515063, China Medical College of Shantou University, Shantou Guangdong, 515041, China Central Laboratory of Shantou University, Shantou Guangdong, 515063, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-3

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）