영상의 영역 분할과 이중선형 보간행렬을 이용한 멀티모달 의료 영상의 정합
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김양욱 | - |
dc.contributor.author | 박준 | - |
dc.date.accessioned | 2022-01-03T07:42:27Z | - |
dc.date.available | 2022-01-03T07:42:27Z | - |
dc.date.created | 2021-12-28 | - |
dc.date.issued | 2009 | - |
dc.identifier.issn | 1229-0807 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/22441 | - |
dc.description.abstract | Transforms including translation and rotation are required for registering two or more images. In medical applications, different registration methods have been applied depending on the structures: for rigid bodies such as bone structures, affine transformation was widely used. In most previous research, a single transform was used for registering the whole images, which resulted in low registration accuracy especially when the degree of deformation was high between two images. In this paper, a novel registration method is introduced which is based image sub-division and bilinear interpolation of transformations. The proposed method enhanced the registration accuracy by 40% comparing with Trimmed ICP for registering color and MRI images. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 대한의용생체공학회 | - |
dc.title | 영상의 영역 분할과 이중선형 보간행렬을 이용한 멀티모달 의료 영상의 정합 | - |
dc.title.alternative | Multimodal Medical Image Registration based on Image Sub-division and Bi-linear Transformation Interpolation | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 박준 | - |
dc.identifier.bibliographicCitation | 의공학회지, v.30, no.1, pp.34 - 40 | - |
dc.relation.isPartOf | 의공학회지 | - |
dc.citation.title | 의공학회지 | - |
dc.citation.volume | 30 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 34 | - |
dc.citation.endPage | 40 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001317856 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Registration | - |
dc.subject.keywordAuthor | Image subdivision | - |
dc.subject.keywordAuthor | Iterative Closest Point | - |
dc.subject.keywordAuthor | Registration | - |
dc.subject.keywordAuthor | Image subdivision | - |
dc.subject.keywordAuthor | Iterative Closest Point | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK 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.