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Automatic segmentation of the glenohumeral cartilages from magnetic resonance images
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
2016-10-01
发表期刊MEDICAL PHYSICS
卷号43期号:10
文章类型Article
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.
关键词Image Segmentation Glenohumeral Cartilage Magnetic Resonance Imaging Statistical Shape Models Morphological Analysis
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.1118/1.4961011
关键词[WOS]3D MR-IMAGES ; ARTICULAR-CARTILAGE ; THICKNESS MEASUREMENTS ; BONE SEGMENTATION ; SHAPE MODELS ; SHOULDER MRI ; KNEE-JOINT ; HIP-JOINT ; EXTRACTION ; OSTEOARTHRITIS
收录类别SCI
语种英语
项目资助者Australian Research Council's Linkage Projects(LP100200422) ; National Health and Medical Research Council's Development Grant(APP1091996)
WOS研究方向Radiology, Nuclear Medicine & Medical Imaging
WOS类目Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000385577900012
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/13323
专题脑网络组研究中心
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
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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).
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