Motion-compensated frame rate up-conversion in carotid ultrasound images using optical flow and manifold learning

Motion-compensated frame rate up-conversion in carotid ultrasound images using optical flow and manifold learning

Objective: Carotid ultrasonography is a reliable and non-invasive method to evaluate atherosclerosis disease and its complications. B-mode cineloops are widely used to assess the severity of atherosclerosis and its progression; ho- wever, tracking rapid wall motions of the carotid artery is still a...

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Bibliographic Details
Main Authors: Fereshteh Yousefi Rizi, Sima Navabian, Zahra Alizadeh Sani
Format: Article
Language:English
Published: KARE Publishing 2019-12-01
Series:Türk Kardiyoloji Derneği Arşivi
Subjects:
algorithm
carotid b-mode images; frame rate; locally linear embedding; manifold learning; motion-compensated; optical flow; up-conversion.
Online Access:https://jag.journalagent.com/z4/download_fulltext.asp?pdir=tkd&un=TKDA-69776

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