Carpal Bone Segmentation using Modified Multi-Seed based Region Growing
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Kyungmin | - |
dc.contributor.author | Kim, Sungmin | - |
dc.contributor.author | Kim, Young Soo | - |
dc.contributor.author | Kim, In Young | - |
dc.contributor.author | Kim, Sun Il | - |
dc.date.accessioned | 2022-12-21T07:31:58Z | - |
dc.date.available | 2022-12-21T07:31:58Z | - |
dc.date.created | 2022-09-19 | - |
dc.date.issued | 2007-06 | - |
dc.identifier.issn | 1229-0807 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179985 | - |
dc.description.abstract | In the early twenty-first century, minimally invasive surgery is the mainstay of various kinds of surgical fields. Surgeons gave percutaneously surgical treatment of the screw directly using a fluoroscopic view in the past. The latest date, they began to operate the fractured carpal bone surgery using Computerized Tomography (CT). Carpal bones composed of wrist joint consist of eight small bones which have hexahedron and sponge shape. Because of these shape, it is difficult to grasp the shape of carpal bones using only CT image data. Although several image segmentation studies have been conducted with carpal bone CT image data, more studies about carpal bone using CT data are still required. Especially, to apply the software implemented from the studies to clinical field, the outcomes should be user friendly and very accurate. To satisfy those conditions, we propose modified multi-seed region growing segmentation method which uses simple threshold and the canny edge detector for finding edge information more accurately. This method is able to use very easily and gives us high accuracy and high speed for extracting the edge information of carpal bones. Especially, using multi-seed points, multi-bone objects of the carpal bone are extracted simultaneously. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 대한의용생체공학회 | - |
dc.title | Carpal Bone Segmentation using Modified Multi-Seed based Region Growing | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Young Soo | - |
dc.contributor.affiliatedAuthor | Kim, In Young | - |
dc.identifier.bibliographicCitation | 의공학회지, v.28, no.3, pp.332 - 337 | - |
dc.relation.isPartOf | 의공학회지 | - |
dc.citation.title | 의공학회지 | - |
dc.citation.volume | 28 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 332 | - |
dc.citation.endPage | 337 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001063888 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | multi-seed based region growing | - |
dc.subject.keywordAuthor | Carpal bone image segmentation | - |
dc.identifier.url | https://www.kci.go.kr/kciportal/landing/article.kci?arti_id=ART001063888 | - |
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.