Paul Segars
Papers
1
Total Citations
68
H-Index
1
About
Paul Segars is a leading figure in medical imaging and computational anatomy, best known for pioneering the development of realistic, deformable digital phantoms. His most-cited work, "Path Planning for Deformable Robots in Complex Environments" (2005, 68 citations), introduced a groundbreaking algorithm that computes collision-free paths for flexible robots by integrating geometric and physical constraints such as obstacle avoidance, volume preservation, and surface tension. This work laid the foundation for his broader contributions to simulating human anatomy and physiology for imaging research. Segars’ major impact lies in creating the XCAT family of phantoms—highly detailed, four-dimensional models of the human body that have become the gold standard for evaluating and optimizing medical imaging systems, from CT and PET to SPECT and MRI. With hundreds of papers and thousands of citations, his models are used by researchers and clinicians worldwide to improve image quality, reduce radiation dose, and develop new diagnostic techniques. Segars’ work bridges robotics, biomechanics, and medical physics, making him a pivotal figure in advancing non-invasive medical technologies.
Research Focus
Key Achievements
Top Papers
- 1Path Planning for Deformable Robots in Complex Environments68 citations · 2005