| A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging | |
Ye, Chuyang1,2 ; Murano, Erni3; Stone, Maureen4; Prince, Jerry L.2; Chuyang Ye
| |
| 发表期刊 | COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
 |
| 2015-10-01 | |
| 卷号 | 45期号:1页码:63-74 |
| 文章类型 | Article |
| 摘要 | The tongue is a critical organ for a variety of functions, including swallowing, respiration, and speech. It contains intrinsic and extrinsic muscles that play an important role in changing its shape and position. Diffusion tensor imaging (DTI) has been used to reconstruct tongue muscle fiber tracts. However, previous studies have been unable to reconstruct the crossing fibers that occur where the tongue muscles interdigitate, which is a large percentage of the tongue volume. To resolve crossing fibers, multi-tensor models on DTI and more advanced imaging modalities, such as high angular resolution diffusion imaging (HARDI) and diffusion spectrum imaging (DSI), have been proposed. However, because of the involuntary nature of swallowing, there is insufficient time to acquire a sufficient number of diffusion gradient directions to resolve crossing fibers while the in vivo tongue is in a fixed position. In this work, we address the challenge of distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging by using a multi-tensor model with a fixed tensor basis and incorporating prior directional knowledge. The prior directional knowledge provides information on likely fiber directions at each voxel, and is computed with anatomical knowledge of tongue muscles. The fiber directions are estimated within a maximum a posteriori (MAP) framework, and the resulting objective function is solved using a noise-aware weighted l(1)-norm minimization algorithm. Experiments were performed on a digital crossing phantom and in vivo tongue diffusion data including three control subjects and four patients with glossectomies. On the digital phantom, effects of parameters, noise, and prior direction accuracy were studied, and parameter settings for real data were determined. The results on the in vivo data demonstrate that the proposed method is able to resolve interdigitated tongue muscles with limited gradient directions. The distributions of the computed fiber directions in both the controls and the patients were also compared, suggesting a potential clinical use for this imaging and image analysis methodology. (C) 2015 Elsevier Ltd. All rights reserved. |
| 关键词 | Diffusion Magnetic Resonance Imaging Limited Gradient Directions Sparse Reconstruction Prior Directional Knowledge Interdigitated Tongue Muscles |
| WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
| DOI | 10.1016/j.compmedimag.2015.07.005 |
| 关键词[WOS] | TENSOR MRI ; IN-VIVO ; TRACTOGRAPHY ; ARCHITECTURE ; BRAIN ; MODEL ; MYOARCHITECTURE ; SEGMENTATION ; RESOLUTION ; TRACTS |
| 收录类别 | SCI |
| 语种 | 英语 |
| 项目资助者 | NIH/NINDS(1R21NS082891 ; NIH/NCI(5R01CA133015) ; China Scholarship Council ; 5R01NS056307) |
| WOS研究方向 | Engineering ; Radiology, Nuclear Medicine & Medical Imaging |
| WOS类目 | Engineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging |
| WOS记录号 | WOS:000364891200007 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/10512 |
| 专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
| 通讯作者 | Chuyang Ye |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China 2.Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA 3.Johns Hopkins Univ, Sch Med, Dept Radiol & Radiol Sci, Baltimore, MD USA 4.Univ Maryland, Sch Dent, Dept Neural & Pain Sci, Baltimore, MD 21201 USA |
| 第一作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Ye, Chuyang,Murano, Erni,Stone, Maureen,et al. A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging[J]. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS,2015,45(1):63-74. |
| APA | Ye, Chuyang,Murano, Erni,Stone, Maureen,Prince, Jerry L.,&Chuyang Ye.(2015).A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging.COMPUTERIZED MEDICAL IMAGING AND GRAPHICS,45(1),63-74. |
| MLA | Ye, Chuyang,et al."A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging".COMPUTERIZED MEDICAL IMAGING AND GRAPHICS 45.1(2015):63-74. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| CMIG.pdf（4919KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论