Breast ultrasound tomography with total-variation regularization

Conference · Thu Jan 01 04:00:00 EST 2009

OSTI ID:956546

Huang, Lianjie ^[1]; Li, Cuiping ^[2]; Duric, Neb ^[3]

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1. Los Alamos National Laboratory
2. KARMANOS CANCER INSTIT.
3. KARMANOS CANCER INSTIT

Breast ultrasound tomography is a rapidly developing imaging modality 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.

• Research Organization: Los Alamos National Laboratory (LANL)
• Sponsoring Organization: DOE
• DOE Contract Number: AC52-06NA25396
• OSTI ID: 956546
• Report Number(s): LA-UR-09-00407; LA-UR-09-407
• Country of Publication: United States
• Language: English

Related Subjects

60 APPLIED LIFE SCIENCES
ALGORITHMS
DATA
DIAGNOSIS
IMAGES
IN VIVO
INFORMATION
MAMMARY GLANDS
MINIMIZATION
NEOPLASMS
PATIENTS
POTENTIALS
REFLECTION
SCREENING
SIGNALS
TOMOGRAPHY
TRANSDUCERS
TRANSMISSION