Patient-specific 3D ultrasound simulation based on convolutional ray-tracing and appearance optimization
Salehi M, Ahmadi SA, Prevost R, Navab N, Wein W (2015)
Publication Type: Conference contribution
Publication year: 2015
Journal
Publisher: Springer Verlag
Book Volume: 9350
Pages Range: 510-518
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Munich, DEU
ISBN: 9783319245706
DOI: 10.1007/978-3-319-24571-3_61
Abstract
The simulation of medical ultrasound from patient-specific data may improve the planning and execution of interventions e.g. in the field of neurosurgery. However, both the long computation times and the limited realism due to lack of acoustic information from tomographic scans prevent a wide adoption of such a simulation. In this work, we address these problems by proposing a novel efficient ultrasound simulation method based on convolutional ray-tracing which directly takes volumetric image data as input. We show how the required acoustic simulation parameters can be derived from a segmented MRI scan of the patient.We also propose an automatic optimization of ultrasonic simulation parameters and tissue-specific acoustic properties from matching ultrasound and MRI scan data. Both qualitative and quantitative evaluation on a database of 14 neurosurgical patients demonstrate the potential of our approach for clinical use.
Involved external institutions
ImFusion GmbH
Germany (DE)
Ludwig-Maximilians-Universität (LMU)
Germany (DE)
Technische Universität München (TUM)
Germany (DE)
Germany (DE)
Ludwig-Maximilians-Universität (LMU)
Germany (DE)
Technische Universität München (TUM)
Germany (DE)
How to cite
APA:
Salehi, M., Ahmadi, S.-A., Prevost, R., Navab, N., & Wein, W. (2015). Patient-specific 3D ultrasound simulation based on convolutional ray-tracing and appearance optimization. In Joachim Hornegger, Alejandro F. Frangi, William M. Wells, Alejandro F. Frangi, Nassir Navab, Joachim Hornegger, Nassir Navab, William M. Wells, William M. Wells, Alejandro F. Frangi, Joachim Hornegger, Nassir Navab (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 510-518). Munich, DEU: Springer Verlag.
MLA:
Salehi, Mehrdad, et al. "Patient-specific 3D ultrasound simulation based on convolutional ray-tracing and appearance optimization." Proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, Munich, DEU Ed. Joachim Hornegger, Alejandro F. Frangi, William M. Wells, Alejandro F. Frangi, Nassir Navab, Joachim Hornegger, Nassir Navab, William M. Wells, William M. Wells, Alejandro F. Frangi, Joachim Hornegger, Nassir Navab, Springer Verlag, 2015. 510-518.
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