Deep motion tracking from multiview angiographic image sequences for synchronization of cardiac phases

Song, S, Du, C, Liu, X et al. (7 more authors) (2019) Deep motion tracking from multiview angiographic image sequences for synchronization of cardiac phases. Physics in Medicine and Biology, 64 (2). ARTN 025018. ISSN 1361-6560

Abstract

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Copyright, Publisher and Additional Information: © 2019 Institute of Physics and Engineering in Medicine. This is an author produced version of a paper published in Physics in Medicine and Biology. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: coronary arteries; x-ray angiographic image sequence; cardiac phase; synchronization; deep motion tracking
Dates:
  • Published: 18 January 2019
  • Accepted: 19 December 2018
  • Published (online): 18 January 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EPSRCEP/N026993/1
Depositing User: Symplectic Publications
Date Deposited: 07 Mar 2019 10:49
Last Modified: 18 Jan 2020 01:39
Status: Published
Publisher: Institute of Physics Publishing
Identification Number: https://doi.org/10.1088/1361-6560/aafa06
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