- Erik M. Shapiro, Ph.D.
- Adam Alessio, Ph.D.
- Andrea Bozoki, M.D.
- Joseph Carlson, Ph.D.
- Ming Chen, Ph.D.
- Assaf Gilad, Ph.D.
- Roger Haut, Ph.D.
- Jie Huang, Ph.D.
- Eric P. Kasten, Ph.D.
- Ronald Meyer, Ph.D.
- Anna Moore, Ph.D.
- Galit Pelled, Ph.D.
- Erich Petushek, Ph.D.
- Chunqi Qian, Ph.D.
- Lorenzo Sempere, Ph.D.
- Jill Slade, Ph.D.
- Ping, Wang, M.D., Ph.D.
- Feng Wei, Ph.D.
- Robert Wiseman, Ph.D.
- David C. Zhu, Ph.D.
- Kurt R. Zinn, Ph.D.
B.S.: Electrical Engineering, Summa Cum Laude, University of Notre Dame
M.S.: Electrical Engineering, University of Notre Dame
Ph.D.: Electrical Engineering, University of Notre Dame
Post-Doc: Imaging Physics, University of Washington
Adam Alessio’s research focuses on non-invasive quantification of disease through advanced imaging algorithms and integrated data analysis. His group, the Medical Imaging and Data Integration (MIDI) lab, solves clinically motivated research problems at the intersection of imaging and medical decision-making. Current efforts center on translational medical research projects for topics including machine learning for quantitative diagnostics, cardiac perfusion estimation, quantitative PET and CT imaging, radiation dose optimization, and system modeling.
Prior joining MSU, Dr. Alessio was a professor of Radiology at the University of Washington. He is board certified by the American Board of Science in Nuclear Medicine for Nuclear Medicine Physics and Instrumentation. He is the author of over 70 peer-reviewed publications, holds 6 patents, and has grant funding from the National Institutes of Health and the medical imaging industry to advance non-invasive cardiac and cancer imaging.
Current Projects Under Investigation
- Improved myocardial perfusion imaging with CT
- Classification and segmentation of medical images with heterogenous inputs
- Augmented interpretation of pediatric chest x-rays
- Advancing PET image reconstruction
- Integrated medical diagnostics
- Application of AI to healthcare delivery
Society of Nuclear Medicine, Pediatric Imaging Council Young Investigator Award, 2008
Joint Chinese Society of Nuclear Medicine and Society of Nuclear Medicine, Young Professionals Visiting Scholar Award, 2011
Hiruma/Wagner Award, Research Foundation of Opto-Science and Technology, 2012
Western Region Society of Nuclear Medicine Distinguished Service Award, 2015
- Alessio, K. Sauer, and P. Kinahan, "Statistical Image Reconstruction from Correlated Data with Applications to PET," Physics in Medicine and Biology, 52:6133-6150, 2007.
- Alessio, PE Kinahan, V Manchanda, V Ghioni, L Aldape, M Parisi, “Weight-Based, Low-Dose Pediatric Whole-Body PET/CT Protocols,” Journal of Nuclear Medicine, vol 50:10, pp 1570-1578, 2009.
- Alessio, CW Stearns, S Tong, SG Ross, S Kohlmyer, A Ganin, & PE Kinahan, “Application and Evaluation of a Measured Spatially Variant System Model for PET Image Reconstruction,” IEEE Trans on Medical Imaging, vol. 29:3, pp. 938-949, 2010.
- Alessio,Bassingthwaighte, Glenny, Caldwell, “Validation of an Axially-Distributed Model for Quantification of Myocardial Blood Flow using 13N-Ammonia PET” Journal of Nuclear Cardiology, vol 20:1, pp 64-75, 2013.
- Alessioand LR MacDonald, “Quantitative Material Characterization from Multi-Energy Photon Counting CT”, Medical Physics, vol 40:3, 2013
- Bindschadler, Branch, Alessio,“Mixed Confidence Estimation for Iterative CT Reconstruction,” IEEE Trans on Medical Imaging, vol. 35:9, pp 2005-2014, 2016.
- Bindschadler, Branch, Alessio, “Quantitative Myocardial Perfusion from Static Cardiac and Dynamic Arterial CT,” Physics in Medicine and Biology, vol 63:10, 2018.
Other department affiliations