Literature DB >> 15282810

Quantification of vessel wall motion and cyclic strain using cine phase contrast MRI: in vivo validation in the porcine aorta.

Mary T Draney1, Frank R Arko, Marcus T Alley, Michael Markl, Robert J Herfkens, Norbert J Pelc, Christopher K Zarins, Charles A Taylor.   

Abstract

Artery wall motion and strain play important roles in vascular remodeling and may be important in the pathogenesis of vascular disease. In vivo observations of circumferentially nonuniform wall motion in the human aorta suggest that nonuniform strain may contribute to the localization of vascular pathology. A velocity-based method to investigate circumferential strain variations was previously developed and validated in vitro; the current study was undertaken to determine whether accurate displacement and strain fields can be calculated from velocity data acquired in vivo. Wall velocities in the porcine thoracic aorta were quantified with PC-MRI and an implanted coil and were then time-integrated to compute wall displacement trajectories and cyclic strain. Displacement trajectories were consistent with observed aortic wall motion and with the displacements of markers in the aortic wall. The mean difference between velocity-based and marker-based trajectory points was 0.1 mm, relative to an average pixel size of 0.4 mm. Propagation of error analyses based on the precision of the computed displacements were used to demonstrate that 10% strain results in a standard deviation of 3.6%. This study demonstrates that it is feasible to accurately quantify strain from low wall velocities in vivo and that the porcine thoracic aorta does not deform uniformly.

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Year:  2004        PMID: 15282810     DOI: 10.1002/mrm.20137

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  7 in total

1.  3-D intravascular ultrasound (IVUS) and IVUS-palpography: insights into the mechanical behavior of the coronary vessel wall.

Authors:  Paul Schoenhagen
Journal:  Int J Cardiovasc Imaging       Date:  2005-11-30       Impact factor: 2.357

2.  Automated analysis of four-dimensional magnetic resonance images of the human aorta.

Authors:  Ryan K Johnson; Senthil Premraj; Sonali S Patel; Nicholas Walker; Andreas Wahle; Milan Sonka; Thomas D Scholz
Journal:  Int J Cardiovasc Imaging       Date:  2010-02-10       Impact factor: 2.357

3.  In vivo quantification of murine aortic cyclic strain, motion, and curvature: implications for abdominal aortic aneurysm growth.

Authors:  Craig J Goergen; Kyla N Barr; Diem T Huynh; Jeffrey R Eastham-Anderson; Gilwoo Choi; Maj Hedehus; Ronald L Dalman; Andrew J Connolly; Charles A Taylor; Philip S Tsao; Joan M Greve
Journal:  J Magn Reson Imaging       Date:  2010-10       Impact factor: 4.813

4.  Methods for robust in vivo strain estimation in the carotid artery.

Authors:  M McCormick; T Varghese; X Wang; C Mitchell; M A Kliewer; R J Dempsey
Journal:  Phys Med Biol       Date:  2012-10-18       Impact factor: 3.609

5.  Valvular endothelial cells and the mechanoregulation of valvular pathology.

Authors:  Jonathan T Butcher; Robert M Nerem
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-08-29       Impact factor: 6.237

6.  Phase-contrast MRI-based elastography technique detects early hypertensive changes in ex vivo porcine aortic wall.

Authors:  David A Woodrum; Joerg Herrmann; Amir Lerman; Anthony J Romano; Lilach O Lerman; Richard L Ehman
Journal:  J Magn Reson Imaging       Date:  2009-03       Impact factor: 4.813

7.  Analysis of peripheral artery velocity tracing in a porcine model.

Authors:  Qingxin Meng; Weiwei Ding; Bin Yang; Ninghua Fu; Guangming Lu
Journal:  Radiol Oncol       Date:  2011-03-15       Impact factor: 2.991

  7 in total

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