| A Robust Gradient-Based Algorithm to Correct Bias Fields of Brain MR Images | |
| Ling, Qiang1; Li, Zhaohui1; Huang, Qinghua2; Liu, Xuelong3 | |
| 2015-09-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT
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| 卷号 | 7期号:3页码:256-264 |
| 摘要 | We developed a novel algorithm to estimate bias fields from brain magnetic resonance (MR) images using a gradient-based method. The bias field is modeled as a multiplicative and slowly varying surface. We fit the bias field by a low-order polynomial. The polynomial's parameters are directly obtained by minimizing the sum of square errors between the gradients of MR images (both in the x-direction and y-direction) and the partial derivatives of the desired polynomial in the log domain. Compared to the existing retrospective algorithms, our algorithm combines the estimation of the gradient of the bias field and the reintegration of the obtained gradient polynomial together so that it is more robust against noise and can achieve better performance, which are demonstrated through experiments with both real and simulated brain MR images. |
| 文章类型 | Article |
| 关键词 | Bias Field Correction Gradient Magnetic Resonance (Mr) Imaging Polynomial Fitting |
| WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
| DOI | 10.1109/TAMD.2015.2416976 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | INTENSITY NONUNIFORMITY ; AUTOMATIC CORRECTION ; SEGMENTATION ; INHOMOGENEITY ; MODEL |
| 语种 | 英语 |
| WOS研究方向 | Computer Science ; Robotics ; Neurosciences & Neurology |
| 项目资助者 | National Natural Science Foundation of China(61273112) ; 973 Program(2013CB733100) |
| WOS类目 | Computer Science, Artificial Intelligence ; Robotics ; Neurosciences |
| WOS记录号 | WOS:000364875000011 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/27550 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.Univ Sci & Technol China, Dept Automat, Hefei 230027, Anhui, Peoples R China 2.S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China 3.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ling, Qiang,Li, Zhaohui,Huang, Qinghua,et al. A Robust Gradient-Based Algorithm to Correct Bias Fields of Brain MR Images[J]. IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT,2015,7(3):256-264. |
| APA | Ling, Qiang,Li, Zhaohui,Huang, Qinghua,&Liu, Xuelong.(2015).A Robust Gradient-Based Algorithm to Correct Bias Fields of Brain MR Images.IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT,7(3),256-264. |
| MLA | Ling, Qiang,et al."A Robust Gradient-Based Algorithm to Correct Bias Fields of Brain MR Images".IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT 7.3(2015):256-264. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| A Robust Gradient-Ba（2580KB） | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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