Reduced respiratory motion artifacts using structural similarity in fast 2D dynamic contrast enhanced MRI of liver lesions.

The purpose of this work was to improve dynamic contrast enhanced MRI (DCE-MRI) of liver lesions by removing motion corrupted images as identified by a structural similarity (SSIM) algorithm, and to assess the effect of this correction on the pharmacokinetic parameter K using automatically determined arterial input functions (AIFs). Fifteen patients with colorectal liver metastases were measured twice with a T weighted multislice 2D FLASH sequence for DCE-MRI (time resolution 1.2 s). AIFs were automatically derived from contrast inflow in the aorta of each patient. Thereafter, SSIM identified motion corrupted images of the liver were removed from the DCE dataset. From this corrected data set K and its reproducibility were determined. Using the SSIM algorithm a median fraction of 46% (range 37-50%) of the liver images in DCE time series was labeled as motion distorted. Rejection of these images resulted in a significantly lower median K (p < 0.05) and lower coefficient of repeatability of K in liver metastases compared with an analysis without correction. SSIM correction improves the reproducibility of the DCE-MRI parameter K in liver metastasis and reduces contamination of K values of lesions by that of surrounding normal liver tissue.