Max Robotics — Global Service Robot Directory + US Certification

About

Matthew W. Jacobson is a leading researcher in medical imaging, with a primary focus on cone-beam computed tomography (CBCT) for interventional guidance. His work addresses two critical challenges in the field: mitigating motion artifacts and optimizing scan trajectories. Jacobson’s most cited paper (2017, 38 citations) introduces a fiducial-free method that uses 3D–2D image registration to correct patient motion during CBCT scans—a significant contribution that enhances image quality without requiring external markers. He further advanced the field by pioneering task-driven source–detector trajectories, where scan orbits are computationally optimized for specific clinical tasks. His 2019 paper (23 citations) applies this methodology to neuroradiology, while his 2017 work (16 citations) marks the first-ever implementation of task-driven imaging on a clinical robotic C-arm system. These innovations directly improve the accuracy and safety of image-guided procedures. With a focus on translating theoretical optimization into practical clinical tools, Jacobson’s research is shaping the future of interventional CBCT, offering radiologists and surgeons clearer, more reliable imaging for complex procedures.