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Robust unsupervised segmentation of infarct lesion from diffusion tensor MR images using multiscale statistical classification and partial volume voxel reclassification
Li, W; Tian, J; Li, EZ; Dai, JP; Tian, Jie
2004-12-01
发表期刊NEUROIMAGE
卷号23期号:4页码:1507-1518
文章类型Article
摘要Manual region tracing method for segmentation of infarction lesions in images from diffusion tensor magnetic resonance imaging (DT-MRI) is usually used in clinical works, but it is time consuming. A new unsupervised method has been developed, which is a multistage procedure, involving image preprocessing, calculation of tensor field and measurement of diffusion anisotropy, segmentation of infarction volume based on adaptive multiscale statistical classification (MSSC), and partial volume voxel reclassification (PVVR). The method accounts for random noise, intensity overlapping, partial volume effect (I'VE), and intensity shading artifacts, which always appear in DT-MR images. The proposed method was applied to 20 patients with clinically diagnosed brain infarction by DT-MRI scans. The accuracy and reproducibility in terms of identifying the infarction lesion have been confirmed by clinical experts. This automatic segmentation method is promising not only in detecting the location and the size of infarction lesion in stroke patient but also in quantitatively analyzing diffusion anisotropy of lesion to guide clinical diagnoses and therapy. (C) 2004 Elsevier Inc. All rights reserved.
关键词Segmentation Dt-mri Infarction Diffusion Anisotropy Statistical Classification
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]AUTOMATIC SEGMENTATION ; WEIGHTED MR ; TISSUE CLASSIFICATION ; WATER DIFFUSION ; EDGE-DETECTION ; ACUTE STROKE ; BRAIN ; MODEL ; MATTER
收录类别SCI
语种英语
WOS研究方向Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000226041800026
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9963
专题09年以前成果
通讯作者Tian, Jie
作者单位Chinese Acad Sci, Med Imaging Proc Grp, Inst Automat, Beijing 100080, Peoples R China
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GB/T 7714
Li, W,Tian, J,Li, EZ,et al. Robust unsupervised segmentation of infarct lesion from diffusion tensor MR images using multiscale statistical classification and partial volume voxel reclassification[J]. NEUROIMAGE,2004,23(4):1507-1518.
APA Li, W,Tian, J,Li, EZ,Dai, JP,&Tian, Jie.(2004).Robust unsupervised segmentation of infarct lesion from diffusion tensor MR images using multiscale statistical classification and partial volume voxel reclassification.NEUROIMAGE,23(4),1507-1518.
MLA Li, W,et al."Robust unsupervised segmentation of infarct lesion from diffusion tensor MR images using multiscale statistical classification and partial volume voxel reclassification".NEUROIMAGE 23.4(2004):1507-1518.
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