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29 March 2013 Ultrasound waveform tomography with a modified total-variation regularization scheme
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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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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);

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