{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,28]],"date-time":"2024-07-28T12:36:00Z","timestamp":1722170160067},"reference-count":11,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["R0101-15-0171"],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2016]]},"abstract":"This paper presents a method for the automatic 3D segmentation of the ascending aorta from coronary computed tomography angiography (CCTA). The segmentation is performed in three steps. First, the initial seed points are selected by minimizing a newly proposed energy function across the Hough circles. Second, the ascending aorta is segmented by geodesic distance transformation. Third, the seed points are effectively transferred through the next axial slice by a novel transfer function. Experiments are performed using a database composed of 10 patients\u2019 CCTA images. For the experiment, the ground truths are annotated manually on the axial image slices by a medical expert. A comparative evaluation with state-of-the-art commercial aorta segmentation algorithms shows that our approach is computationally more efficient and accurate under the DSC (Dice Similarity Coefficient) measurements.<\/jats:p>","DOI":"10.1155\/2016\/4561979","type":"journal-article","created":{"date-parts":[[2016,1,20]],"date-time":"2016-01-20T16:20:50Z","timestamp":1453306850000},"page":"1-7","source":"Crossref","is-referenced-by-count":6,"title":["Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images"],"prefix":"10.1155","volume":"2016","author":[{"given":"Yeonggul","family":"Jang","sequence":"first","affiliation":[{"name":"Brain Korea 21 Project for Medical Science, Yonsei University, Seoul 120-752, Republic of Korea"}]},{"given":"Ho Yub","family":"Jung","sequence":"additional","affiliation":[{"name":"Division of Computer and Electronic Systems Engineering, Hankuk University of Foreign Studies, Yongin 449-791, Republic of Korea"}]},{"given":"Youngtaek","family":"Hong","sequence":"additional","affiliation":[{"name":"Brain Korea 21 Project for Medical Science, Yonsei University, Seoul 120-752, Republic of Korea"}]},{"given":"Iksung","family":"Cho","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea"}]},{"given":"Hackjoon","family":"Shim","sequence":"additional","affiliation":[{"name":"Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea"}]},{"given":"Hyuk-Jae","family":"Chang","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea"},{"name":"Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea"}]}],"member":"98","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.175.2.1750423"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.05.1554"},{"key":"7","series-title":"International Congress Series","first-page":"317","volume-title":"One-click coronary tree segmentation in CT angiographic images","volume":"1281","year":"2005"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_9"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/42.848184"},{"key":"9","first-page":"476","volume-title":"Automatic aorta segmentation and valve landmark detection in c-arm ct: application to aortic valve implantation","year":"2010"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-013-0924-5"},{"key":"13","first-page":"1","year":"2008","journal-title":"Insight Journal"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(96)00010-4"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/s0734-189x(86)80047-0"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.13.11225"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2016\/4561979.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2016\/4561979.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2016\/4561979.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,7,26]],"date-time":"2016-07-26T12:30:04Z","timestamp":1469536204000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cmmm\/2016\/4561979\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":11,"alternative-id":["4561979","4561979"],"URL":"https:\/\/doi.org\/10.1155\/2016\/4561979","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"value":"1748-670X","type":"print"},{"value":"1748-6718","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}