{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:19:00Z","timestamp":1760955540888,"version":"3.37.3"},"reference-count":15,"publisher":"Wiley","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["NSC 102-2221-E-251-001","MOST 103-2221-E-153-011"],"award-info":[{"award-number":["NSC 102-2221-E-251-001","MOST 103-2221-E-153-011"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["NSC 102-2221-E-251-001","MOST 103-2221-E-153-011"],"award-info":[{"award-number":["NSC 102-2221-E-251-001","MOST 103-2221-E-153-011"]}],"id":[{"id":"10.13039\/501100004663","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":[[2015]]},"abstract":"<jats:p>Ultrasonic image sequence of the soft tissue is widely used in disease diagnosis; however, the speckle noises usually influenced the image quality. These images usually have a low signal-to-noise ratio presentation. The phenomenon gives rise to traditional motion estimation algorithms that are not suitable to measure the motion vectors. In this paper, a new motion estimation algorithm is developed for assessing the velocity field of soft tissue in a sequence of ultrasonic B-mode images. The proposed iterative firefly algorithm (IFA) searches for few candidate points to obtain the optimal motion vector, and then compares it to the traditional iterative full search algorithm (IFSA) via a series of experiments of<jats:italic>in vivo<\/jats:italic>ultrasonic image sequences. The experimental results show that the IFA can assess the vector with better efficiency and almost equal estimation quality compared to the traditional IFSA method.<\/jats:p>","DOI":"10.1155\/2015\/343217","type":"journal-article","created":{"date-parts":[[2015,3,19]],"date-time":"2015-03-19T21:22:23Z","timestamp":1426800143000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["Motion Estimation Using the Firefly Algorithm in Ultrasonic Image Sequence of Soft Tissue"],"prefix":"10.1155","volume":"2015","author":[{"given":"Chih-Feng","family":"Chao","sequence":"first","affiliation":[{"name":"Department of Computer Science and Information Engineering, National Pingtung University, No. 4-18, Minsheng Road, Pingtung 90003, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming-Huwi","family":"Horng","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, National Pingtung University, No. 4-18, Minsheng Road, Pingtung 90003, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Chan","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, National Pingtung University, No. 4-18, Minsheng Road, Pingtung 90003, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2007.01.002"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(81)90024-2"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.02.014"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.09.020"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2012.08.003"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/tcom.1981.1094950"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.protcy.2013.12.181"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/76.499840"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/76.510936"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-9496(2003)129:3(210)"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.05.069"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.07.108"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04944-6_14"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2013.08.011"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2010.09.003"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2015\/343217.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2015\/343217.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2015\/343217.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,7,27]],"date-time":"2016-07-27T14:05:04Z","timestamp":1469628304000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cmmm\/2015\/343217\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":15,"alternative-id":["343217","343217"],"URL":"https:\/\/doi.org\/10.1155\/2015\/343217","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"type":"print","value":"1748-670X"},{"type":"electronic","value":"1748-6718"}],"subject":[],"published":{"date-parts":[[2015]]}}}