Regularization of phase contrast magnetic resonance images using optical flow and smoothness constraints
Bergvall, Erik LU ; Markenroth Bloch, Karin LU
; Hedstom, Erik
; Arheden, Håkan
LU
and Sparr, Gunnar
LU
(2005)
Computers in Cardiology, 2005
32.
p.33-36
- Abstract
- This paper presents a post processing strategy for myocardial velocity fields obtained by phase contrast magnetic resonance imaging. Such data can be used to track cardiac motion and to calculate strain. The method combines data regularization with optical flow estimation to overcome the partial volume effect in the image acquisition. Validation is performed both in vitro and in vivo and it is shown that the method improves the accuracy of cardiac motion tracking.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/615475
- author
- Bergvall, Erik
LU
; Markenroth Bloch, Karin
LU
; Hedstom, Erik
; Arheden, Håkan
LU
and Sparr, Gunnar
LU
- organization
- publishing date
- 2005
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Cardiac motion tracking, Data regularization, Cardiac motion, Optical flow estimation
- host publication
- Computers in Cardiology
- volume
- 32
- pages
- 33 - 36
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- Computers in Cardiology, 2005
- conference location
- Lyon, France
- conference dates
- 2005-09-25 - 2005-09-28
- external identifiers
-
- wos:000236378300009
- scopus:33847094707
- ISSN
- 0276-6574
- DOI
- 10.1109/CIC.2005.1588026
- language
- English
- LU publication?
- yes
- id
- d7fcf505-986e-4837-bf28-860c89055d97 (old id 615475)
- date added to LUP
- 2016-04-01 17:07:09
- date last changed
- 2022-01-29 00:28:26
@inproceedings{d7fcf505-986e-4837-bf28-860c89055d97,
abstract = {{This paper presents a post processing strategy for myocardial velocity fields obtained by phase contrast magnetic resonance imaging. Such data can be used to track cardiac motion and to calculate strain. The method combines data regularization with optical flow estimation to overcome the partial volume effect in the image acquisition. Validation is performed both in vitro and in vivo and it is shown that the method improves the accuracy of cardiac motion tracking.}},
author = {{Bergvall, Erik and Markenroth Bloch, Karin and Hedstom, Erik and Arheden, Håkan and Sparr, Gunnar}},
booktitle = {{Computers in Cardiology}},
issn = {{0276-6574}},
keywords = {{Cardiac motion tracking; Data regularization; Cardiac motion; Optical flow estimation}},
language = {{eng}},
pages = {{33--36}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Regularization of phase contrast magnetic resonance images using optical flow and smoothness constraints}},
url = {{http://dx.doi.org/10.1109/CIC.2005.1588026}},
doi = {{10.1109/CIC.2005.1588026}},
volume = {{32}},
year = {{2005}},
}