Automatic human brain vessel segmentation from 3D 7 Tesla MRA images using fast marching with anisotropic directional prior
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Liao, W. | - |
dc.contributor.author | Rohr, K. | - |
dc.contributor.author | Kang, C.-K. | - |
dc.contributor.author | Cho, Z.-H. | - |
dc.contributor.author | Wörz, S. | - |
dc.date.available | 2020-02-29T09:44:36Z | - |
dc.date.created | 2020-02-11 | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 1945-7928 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/17465 | - |
dc.description.abstract | Accurate 3D models of the human brain vessels can greatly help to diagnose serious diseases. Such models can be constructed by segmentation of 3D MRA images, especially the recently introduced high resolution 7T MRA. We propose a new two-step approach for fully automatic segmentation of 7T MRA images of the human cerebrovascular system. First, a 3D model-based approach is applied to segment thick vessels and most parts of thin vessels. Then, the missing vessel parts, which are caused by low contrast and high noise, are completed using a novel fast marching approach with anisotropic directional prior. An evaluation of our approach and a comparison with two previous approaches have been conducted using high resolution 3D 7T MRA images. © 2012 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.relation.isPartOf | Proceedings - International Symposium on Biomedical Imaging | - |
dc.subject | 3D models | - |
dc.subject | 3D segmentation | - |
dc.subject | 7T MRA | - |
dc.subject | Automatic segmentations | - |
dc.subject | Fast-marching | - |
dc.subject | High noise | - |
dc.subject | High resolution | - |
dc.subject | Human brain | - |
dc.subject | Low contrast | - |
dc.subject | Model based approach | - |
dc.subject | MRA images | - |
dc.subject | Thin vessels | - |
dc.subject | Two-step approach | - |
dc.subject | Vasculature | - |
dc.subject | Anisotropy | - |
dc.subject | Brain | - |
dc.subject | Image segmentation | - |
dc.subject | Medical imaging | - |
dc.subject | Three dimensional | - |
dc.title | Automatic human brain vessel segmentation from 3D 7 Tesla MRA images using fast marching with anisotropic directional prior | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.1109/ISBI.2012.6235761 | - |
dc.identifier.bibliographicCitation | Proceedings - International Symposium on Biomedical Imaging, pp.1140 - 1143 | - |
dc.identifier.scopusid | 2-s2.0-84864847749 | - |
dc.citation.endPage | 1143 | - |
dc.citation.startPage | 1140 | - |
dc.citation.title | Proceedings - International Symposium on Biomedical Imaging | - |
dc.contributor.affiliatedAuthor | Kang, C.-K. | - |
dc.contributor.affiliatedAuthor | Cho, Z.-H. | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | 7T MRA | - |
dc.subject.keywordAuthor | anisotropic fast marching | - |
dc.subject.keywordAuthor | Automatic 3D segmentation | - |
dc.subject.keywordAuthor | Cerebral vasculature | - |
dc.subject.keywordPlus | 3D models | - |
dc.subject.keywordPlus | 3D segmentation | - |
dc.subject.keywordPlus | 7T MRA | - |
dc.subject.keywordPlus | Automatic segmentations | - |
dc.subject.keywordPlus | Fast-marching | - |
dc.subject.keywordPlus | High noise | - |
dc.subject.keywordPlus | High resolution | - |
dc.subject.keywordPlus | Human brain | - |
dc.subject.keywordPlus | Low contrast | - |
dc.subject.keywordPlus | Model based approach | - |
dc.subject.keywordPlus | MRA images | - |
dc.subject.keywordPlus | Thin vessels | - |
dc.subject.keywordPlus | Two-step approach | - |
dc.subject.keywordPlus | Vasculature | - |
dc.subject.keywordPlus | Anisotropy | - |
dc.subject.keywordPlus | Brain | - |
dc.subject.keywordPlus | Image segmentation | - |
dc.subject.keywordPlus | Medical imaging | - |
dc.subject.keywordPlus | Three dimensional | - |
dc.description.journalRegisteredClass | scopus | - |
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