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Proceedings Paper

Efficient scatter model for simulation of ultrasound images from computed tomography data
Author(s): J. P. D'Amato; L. Lo Vercio; P. Rubi; E. Fernandez Vera; R. Barbuzza; M. Del Fresno; I. Larrabide
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Paper Abstract

Background and motivation: Real-time ultrasound simulation refers to the process of computationally creating fully synthetic ultrasound images instantly. Due to the high value of specialized low cost training for healthcare professionals, there is a growing interest in the use of this technology and the development of high fidelity systems that simulate the acquisitions of echographic images. The objective is to create an efficient and reproducible simulator that can run either on notebooks or desktops using low cost devices. Materials and methods: We present an interactive ultrasound simulator based on CT data. This simulator is based on ray-casting and provides real-time interaction capabilities. The simulation of scattering that is coherent with the transducer position in real time is also introduced. Such noise is produced using a simplified model of multiplicative noise and convolution with point spread functions (PSF) tailored for this purpose. Results: The computational efficiency of scattering maps generation was revised with an improved performance. This allowed a more efficient simulation of coherent scattering in the synthetic echographic images while providing highly realistic result. We describe some quality and performance metrics to validate these results, where a performance of up to 55fps was achieved. Conclusion: The proposed technique for real-time scattering modeling provides realistic yet computationally efficient scatter distributions. The error between the original image and the simulated scattering image was compared for the proposed method and the state-of-the-art, showing negligible differences in its distribution.

Paper Details

Date Published: 22 December 2015
PDF: 10 pages
Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 968105 (22 December 2015); doi: 10.1117/12.2205937
Show Author Affiliations
J. P. D'Amato, Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)
Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)
L. Lo Vercio, Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)
Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)
P. Rubi, Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)
E. Fernandez Vera, Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)
R. Barbuzza, Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)
M. Del Fresno, Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)
Comisíon de Investigaciones Científicas de la Provincia de Buenos Aires (Argentina)
I. Larrabide, Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)
Univ. Nacional del Centro de la Provincia de Buenos Aires (Argentina)


Published in SPIE Proceedings Vol. 9681:
11th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Juan D. García-Arteaga; Jorge Brieva, Editor(s)

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