Pancreatic cancer is a leading cause of cancer-related death, and surgery remains the only curative option. Accurate intraoperative detection of tumor boundaries is thus critical. Müller Matrix Polarimetry (MMP) shows promise for distinguishing cancerous from healthy tissue, but is sensitive to tissue motion. Supporting the development of MMP-based devices, we designed a motion model that generates the pancreatic motion trajectory during open-abdomen surgery and a motion stage that executes the generated motion trajectory in 3D. The achieved 1–99th percentile range for the motion stage error is −0.193 to 0.367 mm, and −0.202 to 0.213 mm for the repeatability. The motion model and stage provide a sufficiently accurate and repeatable platform for simulating pancreatic motion, enabling evaluation of MMP-based device performance under near-realistic surgical conditions.
