CASIA OpenIR  > 09年以前成果
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
Source PublicationNEUROIMAGE
2004-12-01
Volume23Issue:4Pages:1507-1518
SubtypeArticle
AbstractManual 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.
KeywordSegmentation Dt-mri Infarction Diffusion Anisotropy Statistical Classification
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordAUTOMATIC SEGMENTATION ; WEIGHTED MR ; TISSUE CLASSIFICATION ; WATER DIFFUSION ; EDGE-DETECTION ; ACUTE STROKE ; BRAIN ; MODEL ; MATTER
Indexed BySCI
Language英语
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000226041800026
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9963
Collection09年以前成果
Corresponding AuthorTian, Jie
AffiliationChinese Acad Sci, Med Imaging Proc Grp, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
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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