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Proceedings Paper

Toward a practical ultrasound waveform tomography algorithm for improving breast imaging
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Paper Abstract

Ultrasound tomography is an emerging modality for breast imaging. However, most current ultrasonic tomography imaging algorithms, historically hindered by the limited memory and processor speed of computers, are based on ray theory and assume a homogeneous background which is inaccurate for complex heterogeneous regions. Therefore, wave theory, which accounts for diffraction effects, must be used in ultrasonic imaging algorithms to properly handle the heterogeneous nature of breast tissue in order to accurately image small lesions. However, application of waveform tomography to medical imaging has been limited by extreme computational cost and convergence. By taking advantage of the computational architecture of Graphic Processing Units (GPUs), the intensive processing burden of waveform tomography can be greatly alleviated. In this study, using breast imaging methods, we implement a frequency domain waveform tomography algorithm on GPUs with the goal of producing high-accuracy and high-resolution breast images on clinically relevant time scales. We present some simulation results and assess the resolution and accuracy of our waveform tomography algorithms based on the simulation data.

Paper Details

Date Published: 20 March 2014
PDF: 10 pages
Proc. SPIE 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography, 90401P (20 March 2014); doi: 10.1117/12.2043686
Show Author Affiliations
Cuiping Li, Delphinus Medical Technologies (United States)
Wayne State Univ. (United States)
Gursharan S. Sandhu, Wayne State Univ. (United States)
Olivier Roy, Delphinus Medical Technologies (United States)
Wayne State Univ. (United States)
Neb Duric, Delphinus Medical Technologies (United States)
Karmanos Cancer Institute (United States)
Veerendra Allada, Delphinus Medical Technologies (United States)
Steven Schmidt, Delphinus Medical Technologies (United States)
Wayne State Univ. (United States)


Published in SPIE Proceedings Vol. 9040:
Medical Imaging 2014: Ultrasonic Imaging and Tomography
Johan G. Bosch; Marvin M. Doyley, Editor(s)

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