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Abstract #2979

Correcting for the Effect of Motion using Simultaneous Image Registration and Model Estimation (SIR-ME) in Abdominal DW-MRI

Sila Kurugol1, Moti Freiman1, Onur Afacan1, Liran Domachevski2, Jeanette M. Perez-Rossello1, Michael J. Callahan1, and Simon K. Warfield1

1Radiology, Boston Children's Hospital and Harvard Medical School, Boston, MA, United States, 2Nuclear Medicine, Rabin Medical Center, Petah-Tikva, Israel

Quantitative diffusion-weighted MRI (DW-MRI) has been increasingly used for the detection and characterization of abdominal abnormalities. However, respiratory, cardiac and peristalsis motion deteriorates robustness and reproducibility of parameter estimation in DW-MRI. Current solutions do not entirely correct for motion and have disadvantages such as increased scan time. In this work, we introduce a simultaneous image registration and model estimation (SIR-ME) framework for motion-compensated parameter estimation. The proposed method improved the goodness-of-fit by more than 50% and estimated model parameters more precisely, resulting in better discrimination between normal and diseased bowel loops, which will potentially impact clinical utilization.

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