Paper
13 March 2009 Breast ultrasound tomography with total-variation regularization
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cuiping Li, Neb Duric, and Lianjie Huang "Breast ultrasound tomography with total-variation regularization", Proc. SPIE 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, 726506 (13 March 2009); https://doi.org/10.1117/12.811044
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Breast

Ultrasonography

Ultrasound tomography

Tomography

Tissues

In vivo imaging

Inverse problems

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