Background Quantifying the biomechanical properties of pancreatic tumors could potentially help with assessment of tumor aggressiveness, prognosis, and prediction of therapy response. Purpose To quantify respiratory‐induced deformation in the pancreas and pancreatic lesions using XD‐GRASP (eXtra‐Dimensional Golden‐angle RAdial Sparse Parallel), MRI. Study Type Retrospective study where patients undergoing clinically indicated abdominal MRI which included free‐breathing radial T1‐weighted (T1W) imaging were studied. Subjects Thirty‐two patients (12 male and 20 female) including nine with pancreatic lesions constituted our study cohort. Field Strength/Sequence 3.0 T with T1WI contrast‐enhanced gradient echo radial free‐breathing acquisition. Assessment Using the XD‐GRASP imaging technique, the acquired free‐breathing radial data were sorted and binned into 10 consecutive respiratory motion states that were jointly reconstructed. 3D deformation fields along the respiratory dimension were computed using an optical flow method and were analyzed in the pancreas. Statistical Tests The Wilcoxon signed‐rank test was used to assess the difference in average displacement across pancreatic regions, while the Wilcoxon rank‐sum test was used for displacement differences between patients with and without tumors. The interclass correlation coefficient (ICC) was computed to assess consistency between observers for each image quality measure. Results There was a significantly larger displacement in the pancreatic tail compared with the head (8.2 ± 3.7 mm > 5.8 ± 2.4 mm; P < 0.001) and body regions (8.2 ± 3.7 mm > 6.6 ± 2.9 mm; P < 0.001). Furthermore, there was reduced normalized average displacement in patients with pancreatic lesions compared with subjects without lesions (0.33 ± 0.1 < 0.69 ± 0.26, P < 0.001 for the head; 0.30 ± 0.1 < 0.84 ± 0.31, P < 0.001 for the body; and 0.44 ± 0.31 < 1.08 ± 0.53, P < 0.001 for the tail, respectively). Data Conclusion Free‐breathing respiratory motion‐sorted XD‐GRASP MRI has the potential to noninvasively characterize the biomechanical properties of the pancreas by quantifying breathing‐induced mechanical displacement. Level of Evidence: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1633–1640.