CASIA OpenIR  > 脑网络组研究中心
White matter lesion segmentation from volumetric MR images
Yang, FG; Jiang, TZ; Zhu, WL; Kruggel, A; Yang, GZ; Jiang, T
Source PublicationMEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS
2004
Volume3150Pages:113-120
SubtypeArticle
AbstractWhite matter lesions are common pathological findings in MR tomograms of elderly subjects. These lesions are typically caused by small vessel diseases (e.g., due to hypertension, diabetes). In this paper, we introduce an automatic algorithm for segmentation of white matter lesions from volumetric MR images. In the literature, there are methods based on multi-channel MR images, which obtain good results. But they assume that the different channel images have same resolution, which is often not available. Although our method is also based on T1 and T2 weighted MR images, we do not assume that they have the same resolution (Generally, the T2 volume has much less slices than the T1 volume). Our method can be summarized as the following three steps: 1) Register the T1 image volume and the T2 image volume to find the T1 slices corresponding to those in the T2 volume; 2) Based on the T1 and T2 image slices, lesions in these slices are segmented; 3) Use deformable models to segment lesion boundaries in those T1 slices, which do not have corresponding T2 slices. Experimental results demonstrate that our algorithm performs well.
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
WOS KeywordMULTIPLE-SCLEROSIS LESIONS ; RESONANCE BRAIN IMAGES ; MODEL
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectComputer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000223567700014
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/7956
Collection脑网络组研究中心
Affiliation1.Max Planck Inst Cognit Neurosci, D-04103 Leipzig, Germany
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Yang, FG,Jiang, TZ,Zhu, WL,et al. White matter lesion segmentation from volumetric MR images[J]. MEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS,2004,3150:113-120.
APA Yang, FG,Jiang, TZ,Zhu, WL,Kruggel, A,Yang, GZ,&Jiang, T.(2004).White matter lesion segmentation from volumetric MR images.MEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS,3150,113-120.
MLA Yang, FG,et al."White matter lesion segmentation from volumetric MR images".MEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS 3150(2004):113-120.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang, FG]'s Articles
[Jiang, TZ]'s Articles
[Zhu, WL]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang, FG]'s Articles
[Jiang, TZ]'s Articles
[Zhu, WL]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang, FG]'s Articles
[Jiang, TZ]'s Articles
[Zhu, WL]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.