Quantitative comparison and analysis of sulcal patterns using sulcal graph matching: A twin study
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Im, Kiho | - |
dc.contributor.author | Pienaar, Rudolph | - |
dc.contributor.author | Lee, Jong-Min | - |
dc.contributor.author | Seong, Joon-Kyung | - |
dc.contributor.author | Choi, Yu Yong | - |
dc.contributor.author | Lee, Kun Ho | - |
dc.contributor.author | Grant, P. Ellen | - |
dc.date.available | 2018-05-10T08:38:09Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2011-08-01 | - |
dc.identifier.issn | 1053-8119 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/13605 | - |
dc.description.abstract | The global pattern of cortical sulci provides important information on brain development and functional compartmentalization. Sulcal patterns are routinely used to determine fetal brain health and detect cerebral malformations. We present a quantitative method for automatically comparing and analyzing the sulcal pattern between individuals using a graph matching approach. White matter surfaces were reconstructed from volumetric T1 MRI data and sulcal pits, the deepest points in local sulci, were identified on this surface. The sulcal pattern was then represented as a graph structure with sulcal pits as nodes. The similarity between graphs was computed with a spectral-based matching algorithm by using the geometric features of nodes (3D position, depth and area) and their relationship. In particular, we exploited the feature of graph topology (the number of edges and the paths between nodes) to highlight the interrelated arrangement and patterning of sulcal folds. We applied this methodology to 48 monozygotic twins and showed that the similarity of the sulcal graphs in twin pairs was significantly higher than in unrelated pairs for all hemispheres and lobar regions, consistent with a genetic influence on sulcal patterning. This novel approach has the potential to provide a quantitative and reliable means to compare sulcal patterns. (C) 2011 Elsevier Inc. All rights reserved. | - |
dc.publisher | ACADEMIC PRESS INC ELSEVIER SCIENCE | - |
dc.relation.isPartOf | NEUROIMAGE | - |
dc.subject | SURFACE-BASED ANALYSIS | - |
dc.subject | HUMAN CEREBRAL-CORTEX | - |
dc.subject | ANTERIOR CINGULATE CORTEX | - |
dc.subject | CORTICAL SURFACE | - |
dc.subject | FOLDING PATTERNS | - |
dc.subject | GEOMETRICALLY ACCURATE | - |
dc.subject | HUMAN BRAIN | - |
dc.subject | SCHIZOPHRENIA | - |
dc.subject | VARIABILITY | - |
dc.subject | MORPHOLOGY | - |
dc.title | Quantitative comparison and analysis of sulcal patterns using sulcal graph matching: A twin study | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.neuroimage.2011.04.062 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | NEUROIMAGE, v.57, no.3, pp.1077 - 1086 | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000292717900041 | - |
dc.identifier.scopusid | 2-s2.0-79959709379 | - |
dc.citation.endPage | 1086 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 1077 | - |
dc.citation.title | NEUROIMAGE | - |
dc.citation.volume | 57 | - |
dc.contributor.affiliatedAuthor | Seong, Joon-Kyung | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Graph matching | - |
dc.subject.keywordAuthor | Sulcal pattern | - |
dc.subject.keywordAuthor | Sulcal pit | - |
dc.subject.keywordAuthor | Twin | - |
dc.subject.keywordPlus | SURFACE-BASED ANALYSIS | - |
dc.subject.keywordPlus | HUMAN CEREBRAL-CORTEX | - |
dc.subject.keywordPlus | ANTERIOR CINGULATE CORTEX | - |
dc.subject.keywordPlus | CORTICAL SURFACE | - |
dc.subject.keywordPlus | FOLDING PATTERNS | - |
dc.subject.keywordPlus | GEOMETRICALLY ACCURATE | - |
dc.subject.keywordPlus | HUMAN BRAIN | - |
dc.subject.keywordPlus | SCHIZOPHRENIA | - |
dc.subject.keywordPlus | VARIABILITY | - |
dc.subject.keywordPlus | MORPHOLOGY | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
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.