Kris Thielemans

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About

Kris Thielemans is a leading figure in the field of medical imaging, with a primary focus on PET and PET/MR reconstruction, motion correction, and quantitative analysis. His major contributions lie in advancing the accuracy and clinical utility of PET imaging, particularly by developing sophisticated algorithms to correct for patient motion—a critical challenge in long-duration scans. His work on MR-based motion correction for simultaneous PET/MR systems, as demonstrated in his 2022 study using a robotic head phantom, has been instrumental in reducing motion artifacts and improving both visual assessment and quantitative accuracy. With over 5 citations on this specific paper and a broader body of work that has garnered significant attention, Thielemans has helped bridge the gap between hardware innovation and practical clinical application. He is also widely recognized for his contributions to open-source software tools like STIR (Software for Tomographic Image Reconstruction), which have become essential resources for researchers worldwide. Through his rigorous methodological developments and commitment to reproducible science, Thielemans continues to shape how motion and reconstruction challenges are addressed in modern hybrid imaging systems.