Estimating fetal brain motion with total-variation-based magnetic resonance image registration
文献类型：会议论文
| 作者 | Luming Chen; Hefang Zhang; Shibin Wu; Shaode Yu; Yaoqin Xie |
| 出版日期 | 2016 |
| 会议名称 | WCICA 2016 |
| 会议地点 | 中国桂林 |
| 英文摘要 | Fetal magnetic resonance imaging has been widely used for brain malformation assessment, brain growth estimation and related disease diagnosis. However, how to estimate fetal brain motion is pending which hampers image interpretation. This paper presents an image registration method to address this problem. It takes total-variation regularization (TV ) to model fetal brain motions and adopts a penalty toward piece-wise convergence. Based on four clinical cases, the proposed method was verified from perceived visual perception and landmark errors, and also compared to nonlinear Levenberg- Marquart least square optimization (L2). Visual perception indicates that TV -based registration outperforms L2-based method with less tissue difference, and landmark errors show that the landmark displacement decreases from 4.86 1.76mm to 0.82 0.51mm with L2-based method and to 0.42 0.57mm with TV -based method. One-way ANOVA verifies that both L2- and TV -based methods significantly reduce landmark errors (p<0.0001), while TV -based method outperforms L2-based method (p<0.0065). This paper provides a feasible solution to estimate fetal brain motions and benefits brain development study and disease diagnosis. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10556]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Luming Chen,Hefang Zhang,Shibin Wu,et al. Estimating fetal brain motion with total-variation-based magnetic resonance image registration[C]. 见:WCICA 2016. 中国桂林. |
入库方式： OAI收割
来源：深圳先进技术研究院
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