Ultrasound waveform tomography with a modified total-variation regularization scheme

Youzuo Lin; Lianjie Huang

doi:10.1117/12.2007650

29 March 2013 Ultrasound waveform tomography with a modified total-variation regularization scheme

Youzuo Lin, Lianjie Huang

Proceedings Volume 8675, Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy; 86751F (2013) https://doi.org/10.1117/12.2007650
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Early detection of breast cancer is the key to reducing the cancer mortality rate. With increasing computational power, waveform inversion becomes feasible for high-resolution ultrasound tomography. Because of the limited measurement geometry, ultrasound waveform tomography is usually ill-posed, which requires certain computational methodologies to stabilize waveform inversion. We develop a new ultrasound waveform tomography method using a modified total-variation regularization for detecting and characterizing small breast tumors. To solve the minimization problem, we use an alternating-minimization algorithm in which the original optimization is equivalently decomposed into two simple subproblems. We use numerical breast-phantom data to demonstrate the improved capability of our new tomography method for accurately reconstructs the sound-speed values and shapes of small tumors.

Citation Download Citation

Youzuo Lin and Lianjie Huang "Ultrasound waveform tomography with a modified total-variation regularization scheme", Proc. SPIE 8675, Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy, 86751F (29 March 2013); https://doi.org/10.1117/12.2007650

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