dc.contributor.author | Murillo, S. | en |
dc.contributor.author | Pattichis, Marios S. | en |
dc.contributor.author | Soliz, P. | en |
dc.contributor.author | Barriga, S. | en |
dc.contributor.author | Loizou, Christos P. | en |
dc.contributor.author | Pattichis, Constantinos S. | en |
dc.creator | Murillo, S. | en |
dc.creator | Pattichis, Marios S. | en |
dc.creator | Soliz, P. | en |
dc.creator | Barriga, S. | en |
dc.creator | Loizou, Christos P. | en |
dc.creator | Pattichis, Constantinos S. | en |
dc.date.accessioned | 2019-11-13T10:41:21Z | |
dc.date.available | 2019-11-13T10:41:21Z | |
dc.date.issued | 2010 | |
dc.identifier.isbn | 978-0-8194-8030-9 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54561 | |
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 |
dc.source | Progress in Biomedical Optics and Imaging - Proceedings of SPIE | en |
dc.source | Medical Imaging 2010 - Ultrasonic Imaging, Tomography, and Therapy | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-77956891793&doi=10.1117%2f12.844496&partnerID=40&md5=f2ba7584c78e1c1d095bbb23d8dce623 | |
dc.subject | Optimization | en |
dc.subject | Diagnosis | en |
dc.subject | Tomography | en |
dc.subject | Parameter estimation | en |
dc.subject | Optical flows | en |
dc.subject | Imaging systems | en |
dc.subject | Multimedia systems | en |
dc.subject | Computer graphics | en |
dc.subject | Ultrasonic imaging | en |
dc.subject | Motion analysis | en |
dc.subject | Ultrasonics | en |
dc.subject | Ill posed problem | en |
dc.subject | Medical imaging | en |
dc.subject | Biomedical applications | en |
dc.subject | Digital videos | en |
dc.subject | Motion estimation | en |
dc.subject | Carotid artery | en |
dc.subject | Optimization framework | en |
dc.subject | Open problems | en |
dc.subject | Estimation techniques | en |
dc.subject | Atherosclerotic plaque | en |
dc.subject | Ground truth | en |
dc.subject | carotid artery plaques | en |
dc.subject | Clinical diagnosis | en |
dc.subject | global optimization | en |
dc.subject | Motion estimation algorithm | en |
dc.subject | Motion parameters | en |
dc.subject | Optimal parameter | en |
dc.subject | Real video sequences | en |
dc.subject | Regularization approach | en |
dc.subject | Smoothness constraints | en |
dc.subject | Speckle noise | en |
dc.subject | ultrasound videos | en |
dc.subject | Video motion | en |
dc.subject | Video recording | en |
dc.title | Global optimization for motion estimation with applications to ultrasound videos of carotid artery plaques | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1117/12.844496 | |
dc.description.volume | 7629 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: The Society of Photo-Optical Instrumentation Engineers (SPIE) | en |
dc.description.notes | Medtronic, Inc. | en |
dc.description.notes | Aeroflex, Inc. | en |
dc.description.notes | Hamamatsu Photonics K.K. | en |
dc.description.notes | OpenXi | en |
dc.description.notes | Tungsten Heavy Powder, Inc. | en |
dc.description.notes | Conference code: 80547 | en |
dc.description.notes | Cited By :1</p> | en |
dc.contributor.orcid | Pattichis, Constantinos S. [0000-0003-1271-8151] | |
dc.contributor.orcid | Pattichis, Marios S. [0000-0002-1574-1827] | |
dc.contributor.orcid | Loizou, Christos P. [0000-0003-1247-8573] | |
dc.gnosis.orcid | 0000-0003-1271-8151 | |
dc.gnosis.orcid | 0000-0002-1574-1827 | |
dc.gnosis.orcid | 0000-0003-1247-8573 | |