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Diffusion-weighted MRI is increasingly used for detection and characterization of Crohn’s disease. However, unavoidable respiratory motion and bowel motility reduces accuracy and precision of quantitative parameter fitting, which hinders clinical applicability DW-MRI. We use a 3D slice-to-volume registration approach that sequentially tracks rigid motion parameters for each slice and regularises the parameters with a Kalman filter in the order of acquisition of each slice. We assess the quality of images and estimated parameter maps and the precision of IVIM parameters in the areas of disease using the proposed motion correction technique, and compare them with results from the uncorrected data.
Vasylechko et al. (Wed,) studied this question.