Jinyi Qi has been elevated to IEEE Fellow, effective, January 1, 2014.
He received this honor “for contributions to statistical image reconstruction for emission-computed tomography.”
Dr. Qi is recognized as one of the world’s leading authorities in the field of computational imaging. He is particularly well known for his work to develop maximum a posteriori (MAP) 3D reconstruction algorithms for PET that build on a Bayesian framework and include accurate modeling of the imaging system.
These algorithms have been a key enabling factor in the rapid growth of preclinical PET where the small size of the organs and tissues in small-animal disease models require high spatial resolution, and where accurate quantification is a necessity. An equally important contribution has been of an intellectual nature in quantitatively assessing the performance on non-linear Bayesian image estimators. Dr. Qi developed approximate analytic formulae that can be used to rapidly compute the resolution and variance of Bayesian estimators.
Dr. Qi has a record of sustained theoretical innovation with direct practical impact as supported by more than 77 peer-reviewed journal articles and a further 68 conference proceedings and his articles have been cited over 2,300 times. The importance of Dr. Qi’s work has been previously recognized by the IEEE on two occasions. In 2001 he received the Young Investigator Medical Imaging Science Award, and in 2009 he received the NPSS Early Achievement Award. Dr. Qi also serves as Associate Editor for IEEE Transactions on Medical Imaging, the premier journal in the world for computational imaging research.