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.

Low frequency Ultrasound Tomography Transducer for bedside lung monitoring

Raul Gonzalez Lima (Universidade de São Paulo)

Full-wave form inversion for breast cancer detection

Koen W. A. van Dongen (TU Delft)

Modeling and direct reconstruction in ultrasound tomography

Jennifer Mueller (Colorado State University)

Breast Imaging with 3D Ultrasound Computer Tomography

Torsten Hopp (Karlsruhe Institute of Technology)

Three-dimensional time-domain waveform inversion for breast ultrasound tomography

Mark Anastasio (Washington University in St. Louis)

Ultrasound computed tomography using a wave equation with fractional Laplacian absorption

Ben Cox (Department of Medical Physics, University College London)

The use of standard CT-Scans for the development of an anatomical atlas for Ultrasound Tomography

Tayran Mila Mendes Olegario (Department of Mechanical Engineering, University of Sao Paulo)

Organizers:

Raul Gonzalez Lima (Universidade de São Paulo)

Jennifer Mueller (Colorado State University)

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