Automatic segmentation of the glenohumeral cartilages from magnetic resonance images
文献类型：期刊论文
| 作者 | Neubert, A.1,2; Yang, Z.1,3 ; Engstrom, C.4; Xia, Y.1; Strudwick, M. W.1; Chandra, S. S.1; Fripp, J.2; Crozier, S.1
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| 刊名 | MEDICAL PHYSICS
 |
| 出版日期 | 2016-10-01 |
| 卷号 | 43期号:10 |
| 关键词 | Image Segmentation Glenohumeral Cartilage Magnetic Resonance Imaging Statistical Shape Models Morphological Analysis |
| DOI | 10.1118/1.4961011 |
| 文献子类 | Article |
| 英文摘要 | Purpose: Magnetic resonance (MR) imaging plays a key role in investigating early degenerative disorders and traumatic injuries of the glenohumeral cartilages. Subtle morphometric and biochemical changes of potential relevance to clinical diagnosis, treatment planning, and evaluation can be assessed from measurements derived from in vivo MR segmentation of the cartilages. However, segmentation of the glenohumeral cartilages, using approaches spanning manual to automated methods, is technically challenging, due to their thin, curved structure and overlapping intensities of surrounding tissues. Automatic segmentation of the glenohumeral cartilages from MR imaging is not at the same level compared to the weight-bearing knee and hip joint cartilages despite the potential applications with respect to clinical investigation of shoulder disorders. In this work, the authors present a fully automated segmentation method for the glenohumeral cartilages using MR images of healthy shoulders. |
| WOS关键词 | 3D MR-IMAGES ; ARTICULAR-CARTILAGE ; THICKNESS MEASUREMENTS ; BONE SEGMENTATION ; SHAPE MODELS ; SHOULDER MRI ; KNEE-JOINT ; HIP-JOINT ; EXTRACTION ; OSTEOARTHRITIS |
| WOS研究方向 | Radiology, Nuclear Medicine & Medical Imaging |
| 语种 | 英语 |
| WOS记录号 | WOS:000385577900012 |
| 资助机构 | Australian Research Council's Linkage Projects(LP100200422) ; National Health and Medical Research Council's Development Grant(APP1091996) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13323]  |
| 专题 | 自动化研究所_脑网络组研究中心 |
| 作者单位 | 1.Univ Queensland, Sch Informat Technol & Elect Engn, Brisbane, Qld 4072, Australia 2.CSIRO Hlth & Biosecur, Australian E Hlth Res Ctr, Brisbane, Qld 4029, Australia 3.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China 4.Univ Queensland, Sch Human Movement Studies, Brisbane, Qld 4072, Australia |
| 推荐引用方式 GB/T 7714 | Neubert, A.,Yang, Z.,Engstrom, C.,et al. Automatic segmentation of the glenohumeral cartilages from magnetic resonance images[J]. MEDICAL PHYSICS,2016,43(10). |
| APA | Neubert, A..,Yang, Z..,Engstrom, C..,Xia, Y..,Strudwick, M. W..,...&Crozier, S..(2016).Automatic segmentation of the glenohumeral cartilages from magnetic resonance images.MEDICAL PHYSICS,43(10). |
| MLA | Neubert, A.,et al."Automatic segmentation of the glenohumeral cartilages from magnetic resonance images".MEDICAL PHYSICS 43.10(2016). |
入库方式： OAI收割
来源：自动化研究所
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