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Abstract #3061

4D MAP Image Reconstruction of MRI Data

Jacob Hinkle1, Ganesh Adluru2, Edward DiBella2, Sarang Joshi1

1Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States; 2Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT, United States

Conventional MRI reconstruction techniques are susceptible to artifacts when imaging moving organs. In this paper, a reconstruction algorithm is developed that accommodates motion instead of altering the scanning protocol. The maximum a posteriori (MAP) algorithm uses the raw time-stamped data to reconstruct the images and estimate deformations in anatomy simultaneously. The algorithm eliminates artifacts by avoiding gating processes and increases signal-to-noise ratio (SNR) by using all of the collected data. The algorithm is tested in a simulated torso phantom and is shown to increase image quality by dramatically reducing motion artifacts.