Transrectal Electric Impedance Tomography (TREIT) has been proposed jointly with ultrasound (US) imaging of the prostate to enhance the standard clinical imaging. Reconstructing TREIT images involves a solution of an inverse problem. The reconstruction is based on two steps: solving and updating an estimate of the dielectric property distribution through solution of an inverse problem. In this paper we consider a multi-GPU acceleration, which will allow us to significantly speed up the solution of the inverse problem. By conducting numerical experiments we compare results in assembling the Jacobian matrix by a CPU-based multiple computational cores server, a single GPU acceleration, and eventually a multi-GPU.
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