Salient Feature Volume and Its Application in Brain MRI Image Registration

摘要：

Brain MRI image registration is crucial for the diagnoses and treatments of various brain disease. Moreover, it is a fundamental procedure during the functional analysis of brain. Currently, brain MRI image registration based on volumetric iterative search of the best transformation parameters is still a little time-consuming. In this paper, we propose a new method based on the salient feature volume (SFV) to register the brain MRI images. First, an innovative saliency definition of brain MRI image is given to extract the SFVs. For extracted SFVs, we compute corresponding feature descriptor, which consists of both local gradient field distribution and geometric information. The global rigid transformation parameters are then estimated by matching these extracted SFVs. Finally, a local to global registration strategy is adopted. The proposed method is evaluated by detailed experiments, and the experimental results prove that our method could accelerate the brain MRI image registration efficiently.

关键词： salient feature volume MRI image registration

作者: Jian Zheng Duojie Kuai Zhaobang Liu Yun Teng Tao Zhang

作者单位: Medical Imaging Department Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences Suzhou, 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: 476-480

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）