Full-wave intravascular ultrasound simulation from histology
Kraft S, Conjeti S, Noël PB, Carlier S, Navab N, Katouzian A (2014)
Publication Type: Conference contribution
Publication year: 2014
Publisher: Springer Verlag
Book Volume: 17
Pages Range: 627-634
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: USA
ISBN: 9783319104690
DOI: 10.1007/978-3-319-10470-6_78
Abstract
In this paper, we introduce a framework for simulating intravascular ultrasound (IVUS) images and radiofrequency (RF) signals from histology image counterparts. We modeled the wave propagation through the Westervelt equation, which is solved explicitly with a finite differences scheme in polar coordinates by taking into account attenuation and non-linear effects. Our results demonstrate good correlation for textural and spectral information driven from simulated IVUS data in contrast to real data, acquired with single-element mechanically rotating 40 MHz transducer, as ground truth. © 2014 Springer International Publishing.
Involved external institutions
Germany (DE)
Belgium (BE)How to cite
APA:
Kraft, S., Conjeti, S., Noël, P.B., Carlier, S., Navab, N., & Katouzian, A. (2014). Full-wave intravascular ultrasound simulation from histology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 627-634). USA: Springer Verlag.
MLA:
Kraft, Silvan, et al. "Full-wave intravascular ultrasound simulation from histology." Proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, USA Springer Verlag, 2014. 627-634.
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