Fully-automated approach to hippocampus segmentation using a graph-cuts algorithm combined with atlas-based segmentation and morphological opening
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwak, Kichang | - |
dc.contributor.author | Yoon, Uicheul | - |
dc.contributor.author | Lee, Dong-Kyun | - |
dc.contributor.author | Kim, Geon Ha | - |
dc.contributor.author | Seo, Sang Won | - |
dc.contributor.author | Na, Duk L. | - |
dc.contributor.author | Shim, Hack-Joon | - |
dc.contributor.author | Lee, Jong-Min | - |
dc.date.accessioned | 2022-07-16T08:27:09Z | - |
dc.date.available | 2022-07-16T08:27:09Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2013-09 | - |
dc.identifier.issn | 0730-725X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/162027 | - |
dc.description.abstract | The hippocampus has been known to be an important structure as a biomarker for Alzheimer's disease (AD) and other neurological and psychiatric diseases. However, it requires accurate, robust and reproducible delineation of hippocampal structures. In this study, an automated hippocampal segmentation method based on a graph-cuts algorithm combined with atlas-based segmentation and morphological opening was proposed. First of all, the atlas-based segmentation was applied to define initial hippocampal region for a priori information on graph-cuts. The definition of initial seeds was further elaborated by incorporating estimation of partial volume probabilities at each voxel. Finally, morphological opening was applied to reduce false positive of the result processed by graph-cuts. In the experiments with twenty-seven healthy normal subjects, the proposed method showed more reliable results (similarity index = 0.81 +/- 0.03) than the conventional atlas-based segmentation method (0.72 +/- 0.04). Also as for segmentation accuracy which is measured in terms of the ratios of false positive and false negative, the proposed method (precision = 0.76 +/- 0.04, recall -= 0.86 +/- 0.05) produced lower ratios than the conventional methods (0.73 +/- 0.05, 0.72 +/- 0.06) demonstrating its plausibility for accurate, robust and reliable segmentation of hippocampus. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE INC | - |
dc.title | Fully-automated approach to hippocampus segmentation using a graph-cuts algorithm combined with atlas-based segmentation and morphological opening | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Jong-Min | - |
dc.identifier.doi | 10.1016/j.mri.2013.04.008 | - |
dc.identifier.scopusid | 2-s2.0-84880729639 | - |
dc.identifier.wosid | 000322944600021 | - |
dc.identifier.bibliographicCitation | MAGNETIC RESONANCE IMAGING, v.31, no.7, pp.1190 - 1196 | - |
dc.relation.isPartOf | MAGNETIC RESONANCE IMAGING | - |
dc.citation.title | MAGNETIC RESONANCE IMAGING | - |
dc.citation.volume | 31 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 1190 | - |
dc.citation.endPage | 1196 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.subject.keywordPlus | TEMPORAL-LOBE EPILEPSY | - |
dc.subject.keywordPlus | ADULT HUMAN BRAINS | - |
dc.subject.keywordPlus | ALZHEIMERS-DISEASE | - |
dc.subject.keywordPlus | MULTIPLE-SCLEROSIS | - |
dc.subject.keywordPlus | DEFORMABLE MODEL | - |
dc.subject.keywordPlus | 3-D EXTRACTION | - |
dc.subject.keywordPlus | MRI DATA | - |
dc.subject.keywordPlus | IMAGES | - |
dc.subject.keywordPlus | CLASSIFICATION | - |
dc.subject.keywordPlus | ATROPHY | - |
dc.subject.keywordAuthor | Magnetic Resonance Imaging | - |
dc.subject.keywordAuthor | Atlas-based segmentation | - |
dc.subject.keywordAuthor | Graph cuts algorithm | - |
dc.subject.keywordAuthor | Morphological operation | - |
dc.subject.keywordAuthor | Partial volume estimation | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0730725X13001513?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.