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In ultrasound tomography, acoustic properties of the medium are reconstructed from data collected on transducers placed around the boundary of the region of interest. One application of this technique is noninvasive detection of breast cancer, with the advantages over mammography of being non-ionizing and more comfortable for the patient. Pulmonary imaging is an emerging application, with new challenges including modeling and design of low-frequency transducers and optimal sensor placement. The reconstruction problem is computationally challenging, and the problem may be posed in the time or the frequency domain. This minisymposium will include approaches to transducer modeling, sensor placement, and reconstruction algorithms in two and three dimensions.