Tomoelastography by multifrequency wave number recovery
Tzschätzsch H, Dittmann F, Braun J, Sack I, Guo J (2017)
Publication Type: Conference contribution
Publication year: 2017
Journal
Publisher: Kluwer Academic Publishers
Pages Range: 3-7
Conference Proceedings Title: Informatik aktuell
Event location: Berlin, DEU
ISBN: 9783662494646
DOI: 10.1007/978-3-662-49465-3_3
Abstract
In elastography mechanically excited shear waves are captured by medical ultrasound or MRI to reconstruct the elastic parameters of the underlying tissue. Current inversion algorithm use second-order derivatives for elasticity reconstruction which limits the spatial resolution of the elastic parameter maps. Here we propose a noise stable inversion method, which relies on wave number k reconstruction at different harmonic frequencies followed by their amplitude-weighted averaging prior to inversion. The algorithm is tested on abdominal and pelvic data. The resulting shear wave speed maps provide anatomical details in elastic parameter maps due to its inherent sensitivity to noise at pixel-wise resolution producing superior details to current MRE inversion methods.
Involved external institutions
Germany (DE)How to cite
APA:
Tzschätzsch, H., Dittmann, F., Braun, J., Sack, I., & Guo, J. (2017). Tomoelastography by multifrequency wave number recovery. In Thomas M. Deserno, Heinz Handels, Thomas Tolxdorff, Hans-Peter Meinzer (Eds.), Informatik aktuell (pp. 3-7). Berlin, DEU: Kluwer Academic Publishers.
MLA:
Tzschätzsch, Heiko, et al. "Tomoelastography by multifrequency wave number recovery." Proceedings of the Workshops on Image processing for the medicine, 2016, Berlin, DEU Ed. Thomas M. Deserno, Heinz Handels, Thomas Tolxdorff, Hans-Peter Meinzer, Kluwer Academic Publishers, 2017. 3-7.
BibTeX: Download