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.
This work was partially supported by the Bayerische Forschungsstiftung (project RoBildOR) and ACTIVE of the EU 7th Framework Program FP7/ICT-2009-6 under Grant Agreement No. 270460.
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Kraft, S., Conjeti, S., Noël, P.B., Carlier, S., Navab, N., Katouzian, A. (2014). Full-Wave Intravascular Ultrasound Simulation from Histology. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. MICCAI 2014. Lecture Notes in Computer Science, vol 8674. Springer, Cham. https://doi.org/10.1007/978-3-319-10470-6_78
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DOI: https://doi.org/10.1007/978-3-319-10470-6_78
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