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Recent advances in image reconstruction for ultrasound computed tomography

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RNTW02 - Rich and non-linear tomography in medical imaging, materials and non destructive testing

Ultrasound computed tomography (USCT) is an emerging medical imaging modality that can produce quantitative images of acoustic properties of tissue.  In this talk, recent advances in image reconstruction are reviewed. These include: 1) the develop of realistic stochastic numerical breast phantoms to enable meaningful evaluations of breast USCT via virtual imaging studies; 2) a 3D numerical forward model for USCT with consideration of elevationally focused transducers, for use with ring array-based imagers; and 3) a deep learning (DL)-based reconstruction procedure for USCT that seeks to achieve image quality similar to that produced by full waveform inversion methods but at a reduced computational cost.

This talk is part of the Isaac Newton Institute Seminar Series series.

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