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A fast and highly automated approach to myocardial motion analysis using phase contrast magnetic resonance imaging.

Bergvall, Erik LU ; Cain, Peter LU ; Arheden, Håkan LU and Sparr, Gunnar LU (2006) In Journal of Magnetic Resonance Imaging 23(5). p.652-661
Abstract
Purpose: To develop a fast and highly automated method for calculating two-dimensional myocardial motion and deformation using velocity encoded magnetic resonance imaging. Materials and Methods: Two-dimensional phase contrast magnetic resonance imaging was used to acquire time resolved velocity maps of the myocardium. Cardiac motion was calculated by an iterative integration-regularization scheme of low computational cost. Image segmentation was performed using active appearance models. Results: Validation of motion tracking was performed in N = 47 subjects using saturation grid-tagging and closely followed "tag-lines." Image segmentation was validated vs. manual delineation. Conclusion: The speed and limited user interaction gives the... (More)
Purpose: To develop a fast and highly automated method for calculating two-dimensional myocardial motion and deformation using velocity encoded magnetic resonance imaging. Materials and Methods: Two-dimensional phase contrast magnetic resonance imaging was used to acquire time resolved velocity maps of the myocardium. Cardiac motion was calculated by an iterative integration-regularization scheme of low computational cost. Image segmentation was performed using active appearance models. Results: Validation of motion tracking was performed in N = 47 subjects using saturation grid-tagging and closely followed "tag-lines." Image segmentation was validated vs. manual delineation. Conclusion: The speed and limited user interaction gives the method good potential for use in clinical practice. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
analysis, kinematics, magnetic resonance imaging, cardiovascular system, velocity mapping, image
in
Journal of Magnetic Resonance Imaging
volume
23
issue
5
pages
652 - 661
publisher
John Wiley & Sons
external identifiers
  • pmid:16568435
  • wos:000237124800006
  • scopus:33646186816
  • pmid:16568435
ISSN
1522-2586
DOI
10.1002/jmri.20565
language
English
LU publication?
yes
id
e9ae70b7-4167-4a69-ae96-b5f51a4902f8 (old id 154340)
alternative location
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=16568435&dopt=Abstract
date added to LUP
2016-04-01 11:44:03
date last changed
2020-01-15 02:24:24
@article{e9ae70b7-4167-4a69-ae96-b5f51a4902f8,
  abstract     = {Purpose: To develop a fast and highly automated method for calculating two-dimensional myocardial motion and deformation using velocity encoded magnetic resonance imaging. Materials and Methods: Two-dimensional phase contrast magnetic resonance imaging was used to acquire time resolved velocity maps of the myocardium. Cardiac motion was calculated by an iterative integration-regularization scheme of low computational cost. Image segmentation was performed using active appearance models. Results: Validation of motion tracking was performed in N = 47 subjects using saturation grid-tagging and closely followed "tag-lines." Image segmentation was validated vs. manual delineation. Conclusion: The speed and limited user interaction gives the method good potential for use in clinical practice.},
  author       = {Bergvall, Erik and Cain, Peter and Arheden, Håkan and Sparr, Gunnar},
  issn         = {1522-2586},
  language     = {eng},
  number       = {5},
  pages        = {652--661},
  publisher    = {John Wiley & Sons},
  series       = {Journal of Magnetic Resonance Imaging},
  title        = {A fast and highly automated approach to myocardial motion analysis using phase contrast magnetic resonance imaging.},
  url          = {http://dx.doi.org/10.1002/jmri.20565},
  doi          = {10.1002/jmri.20565},
  volume       = {23},
  year         = {2006},
}