Statistical estimation of the regularization parameter for ultrasound tomographic reconstructions and its noise tolerance

Roberto Ceccato; Sérgio Furuie

doi:10.1117/12.2607370

4 April 2022 Statistical estimation of the regularization parameter for ultrasound tomographic reconstructions and its noise tolerance

Roberto Ceccato, Sérgio Furuie

Author Affiliations +

Proceedings Volume 12038, Medical Imaging 2022: Ultrasonic Imaging and Tomography; 120380U (2022) https://doi.org/10.1117/12.2607370
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

Refracted ray-path model in transmission-based ultrasound tomography (USCT) is a promising medical imaging technique. Although, most reconstructing methods for this technique fall into ill-conditioned problems that require prior information and regularization for solving, in this case choosing the regularization parameter by guessing and testing might be a time consuming task. The current report intends to present and test the robustness against measurement noise of a statistical estimation of Tikhonov regularization factor needed in refraction-corrected sound speed distribution in transmission-based USCT.

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Roberto Ceccato and Sérgio Furuie "Statistical estimation of the regularization parameter for ultrasound tomographic reconstructions and its noise tolerance", Proc. SPIE 12038, Medical Imaging 2022: Ultrasonic Imaging and Tomography, 120380U (4 April 2022); https://doi.org/10.1117/12.2607370

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