Adam Alessio, Ph.D.

Adam Alessio, Ph.D.

Professor

Department of Radiology

Computational Mathematics, Science, and Engineering (CMSE)

Biomedical Engineering (BME)

 

Dr. Alessio's Home Page

aalessio@msu.edu

517.432.1708

 

Institute for Quantitative Health Science and Engineering (IQ)

775 Woodlot Drive

East Lansing, MI 48824

College Degrees: 

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 

Research Interests:

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

  1. Improved myocardial perfusion imaging with CT
  2. Classification and segmentation of medical images with heterogenous inputs
  3. Augmented interpretation of pediatric chest x-rays
  4. Advancing PET image reconstruction
  5. Integrated medical diagnostics
  6. Application of AI to healthcare delivery

 

Honors/Awards

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

 

Selected Publications

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Alessioand LR MacDonald, “Quantitative Material Characterization from Multi-Energy Photon Counting CT”, Medical Physics, vol 40:3, 2013
  6. Bindschadler, Branch, Alessio,“Mixed Confidence Estimation for Iterative CT Reconstruction,” IEEE Trans on Medical Imaging, vol. 35:9, pp 2005-2014, 2016.
  7. Bindschadler, Branch, Alessio, “Quantitative Myocardial Perfusion from Static Cardiac and Dynamic Arterial CT,” Physics in Medicine and Biology, vol 63:10, 2018.

 

Adam Alessio Google Scholar Profile

 

Other department affiliations

Computational Mathematics Science and Engineering (CMSE)

Biomedical Engineering Department (BME)

Institute for Quantitative Health Science and Engineering (IQ)