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Proceedings Paper

Breast ultrasound tomography with total-variation regularization
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Paper Abstract

Breast ultrasound tomography is a rapidly developing imaging modality that that has the potential to impact breast cancer screening and diagnosis. A new ultrasound breast imaging device (CURE) with a ring array of transducers has been designed and built at Karmanos Cancer Institute, which acquires both reflection and transmission ultrasound signals. To extract the sound-speed information from the breast data acquired by CURE, we have developed an iterative sound-speed image reconstruction algorithm for breast ultrasound transmission tomography based on total-variation (TV) minimization. We investigate applicability of the TV tomography algorithm using in vivo ultrasound breast data from 61 patients, and compare the results with those obtained using the Tikhonov regularization method. We demonstrate that, compared to the Tikhonov regularization scheme, the TV regularization method significantly improves image quality, resulting in sound-speed tomography images with sharp (preserved) edges of abnormalities and few artifacts.

Paper Details

Date Published: 13 March 2009
PDF: 8 pages
Proc. SPIE 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, 726506 (13 March 2009); doi: 10.1117/12.811044
Show Author Affiliations
Cuiping Li, Karmanos Cancer Institute (United States)
Neb Duric, Karmanos Cancer Institute (United States)
Lianjie Huang, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 7265:
Medical Imaging 2009: Ultrasonic Imaging and Signal Processing
Stephen A. McAleavey; Jan D'hooge, Editor(s)

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