Direct magnetic resonance elastography feasibility for measuring myocardial elasticity changes

Tzschatzsch H, Elgeti T, Hirsch S, Krefting D, Klatt D, Braun J, Sack I (2012)

Publication Type: Conference contribution

Publication year: 2012

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Kluwer Academic Publishers

Pages Range: 3-8

Conference Proceedings Title: Informatik aktuell

Event location: DEU

ISBN: 9783642285011

DOI: 10.1007/978-3-642-28502-8_3

Abstract

Direct cardiac magnetic resonance elastography (MRE) based on harmonically oscillating tissue interfaces is introduced. This method exploits cardiac triggered cine imaging synchronized to extrinsic harmonic motion of 22.83 Hz frequency for displaying oscillatory tissue deformations in the magnitude image. Oscillations are analyzed by intensity-threshold based image processing for delineating wave amplitude variations over the cardiac cycle. Initial results showed that endocardial wave amplitudes during systole (0.13±0.07)mm were significantly lower than during diastole (0.34±0.14) mm. Wave amplitudes were found to decrease (117 ± 40) ms before myocardial contraction and to increase (75±31) ms prior to myocardial relaxation. Not requiring extra motionencoding gradients the introduced method enables short-TR vibration imaging and therewith improves the time resolution in cardiac MRE. © Springer-Verlag Berlin Heidelberg 2012.

Involved external institutions

Charité - Universitätsmedizin Berlin DE Germany (DE)

How to cite

APA:

Tzschatzsch, H., Elgeti, T., Hirsch, S., Krefting, D., Klatt, D., Braun, J., & Sack, I. (2012). Direct magnetic resonance elastography feasibility for measuring myocardial elasticity changes. In Informatik aktuell (pp. 3-8). DEU: Kluwer Academic Publishers.

MLA:

Tzschatzsch, Heiko, et al. "Direct magnetic resonance elastography feasibility for measuring myocardial elasticity changes." Proceedings of the Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2012 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2012, DEU Kluwer Academic Publishers, 2012. 3-8.

BibTeX: Download