Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/23635
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Murillo, Sergio | - |
dc.contributor.author | Pattichis, Marios S. | - |
dc.contributor.author | Soliz, Peter | - |
dc.contributor.author | Barriga, Simon E. | - |
dc.contributor.author | Loizou, Christos P. | - |
dc.contributor.author | Pattichis, Constantinos S. | - |
dc.date.accessioned | 2021-11-15T06:50:45Z | - |
dc.date.available | 2021-11-15T06:50:45Z | - |
dc.date.issued | 2010-02 | - |
dc.identifier.citation | SPIE Medical Imaging, 2010, 14–15 February, San Diego, California, United States | en_US |
dc.identifier.isbn | 9780819480309 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/23635 | - |
dc.description.abstract | Motion estimation from digital video is an ill-posed problem that requires a regularization approach. Regularization introduces a smoothness constraint that can reduce the resolution of the velocity estimates. The problem is further complicated for ultrasound videos (US), where speckle noise levels can be significant. Motion estimation using optical flow models requires the modification of several parameters to satisfy the optical flow constraint as well as the level of imposed smoothness. Furthermore, except in simulations or mostly unrealistic cases, there is no ground truth to use for validating the velocity estimates. This problem is present in all real video sequences that are used as input to motion estimation algorithms. It is also an open problem in biomedical applications like motion analysis of US of carotid artery (CA) plaques. In this paper, we study the problem of obtaining reliable ultrasound video motion estimates for atherosclerotic plaques for use in clinical diagnosis. A global optimization framework for motion parameter optimization is presented. This framework uses actual carotid artery motions to provide optimal parameter values for a variety of motions and is tested on ten different US videos using two different motion estimation techniques. © 2010 Copyright SPIE - The International Society for Optical Engineering. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © SPIE | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Motion estimation | en_US |
dc.subject | motion analysis | en_US |
dc.subject | Ultrasound video motion | en_US |
dc.subject | Atherosclerotic plaques | en_US |
dc.title | Global optimization for motion estimation with applications to ultrasound videos of carotid artery plaques | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | University of New Mexico | en_US |
dc.collaboration | VisionQuest Biomedical | en_US |
dc.collaboration | Intercollege | en_US |
dc.collaboration | University of Cyprus | en_US |
dc.subject.category | Medical Engineering | en_US |
dc.country | Cyprus | en_US |
dc.country | United States | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | SPIE Medical Imaging | en_US |
dc.identifier.doi | 10.1117/12.844496 | en_US |
dc.identifier.scopus | 2-s2.0-77956891793 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/77956891793 | - |
cut.common.academicyear | 2009-2010 | en_US |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-1247-8573 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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