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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Estimation of acoustic impedance from multiple ultrasound images with application to spatial compounding
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Christian Wachinger, Computer Aided Medical Procedures (CAMP), Technische Universität München, Germany
Ramtin Shams, Research School of Information Sciences and Engineering (RSISE), The Australian National University, Australia
Nassir Navab, Computer Aided Medical Procedures (CAMP), Technische Universität München, Germany
Reflection of sound waves, due to acoustic impedance mismatch at the interface of two media, is the principal physical property which allows visualization with ultrasound. In this paper, we investigate reconstruction of the acoustic impedance from ultrasound images for the first time. Similar to spatial compounding, we combine multiple images to improve the estimation. We use phase information to determine regions of high reflection from an ultrasound image. We model the physical imaging process with an emphasis on the reflection of sound waves. The model is used in computing the acoustic impedance (up to a scale) from areas of high reflectivity. The acoustic impedance image can either be directly visualized or be used in simulation of ultrasound images from an arbitrary point of view. The experiments performed on in-vitro and in-vivo data show promising results.
Citation:
Christian Wachinger, Ramtin Shams, Nassir Navab, "Estimation of acoustic impedance from multiple ultrasound images with application to spatial compounding," cvprw, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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