6月19日，周五下午2：30于基础教学楼B318实验室
开始本周论文研读以及13级毕业论文预开题。请小伙伴们准时到场。
具体信息：
论文研读：龚磊
文章：《Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation》
简介：
This paper proposes a new energy minimization method called multiplicative intrinsic component optimization (MICO) for joint bias field estimation and segmentation of magnetic resonance (MR) images. The proposed method takes full advantage of the decomposition of MR images into two multiplicative components, namely, the true image that characterizes a physical property of the tissues and the bias field that accounts for the intensity inhomogeneity, and their respective spatial properties. Bias field estimation and tissue segmentation are simultaneously achieved by an energy minimization process aimed to optimize the estimates of the two multiplicative components of an MR image. The bias field is iteratively optimized by using efficient matrix computations, which are verified to be numerically stable by matrix analysis. More importantly, the energy in our formulation is convex in each of its variables, which leads to the robustness of the proposed energy minimization algorithm.
预开题成员：
- 唐彬彬
- 贺庆来
- 曾昂
- 刘汉青
- 苏亚博
- 李荣
- 朱柏企