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.