Alan Wilman

Professor & Assoc Chair Grad, Faculty of Medicine & Dentistry - Biomedical Engineering Dept


Professor & Assoc Chair Grad, Faculty of Medicine & Dentistry - Biomedical Engineering Dept
(780) 492-0562
1-071 Research Transition Facility
8410 - 114 St NW
Edmonton AB
T6G 2V2



  • EducationBSc Physics, University of British Columbia, 1987
  • PhD Medical Physics, University of Alberta, 1994
  • Post doctorate Mayo Clinic, Rochester MN 1994-1997

My background and current work is in the physics and engineering of Magnetic Resonance Imaging (MRI). My specialty is designing new high field MRI methods to improve the value of MRI and to apply these methods to study human disease, mainly in the brain.

During my PhD, I studied with Dr. Peter S. Allen on the topic of coupled spins and spectroscopy. This work involved using spin quantum mechanics to analytically calculate the spin response of important metabolites in the human brain. My PhD gave me a strong grounding in NMR fundamentals and spectroscopy, but I wanted to also make a difference in clinical patient care. I moved to the Mayo Clinic in Minnesota to work with Dr. Stephen Riederer. At Mayo, I applied my physics understanding to discover new methods of performing MR angiography. These methods have been used on more than 20 million patients worldwide. I returned to the U of Alberta in 1997. Over the years my work at UofA has expanded from its beginnings in MR angiography and spectroscopy to include general high field brain imaging, with a current focus on iron-sensitive methods. Recent advances include new ways to perform magnetic susceptibility mapping and transverse relaxation measurements as well as new insight into multiple sclerosis grey matter iron accumulation. In all cases our goal is to make advances: new MR physics insight, new methods for the clinic, or new findings in human function and disease.


Susceptibility and Relaxation and Iron-Sensitive MRI

At the University of Alberta we have a 100% research 4.7 T human MRI system and a 3.0 T Siemens Prisma. These high field instruments offer unique sensitivity to iron through susceptibility and relaxation effects. Iron may be an early marker of neurodegeneration in the brain, as well as being an indicator of changes in deoxygenation and iron storage. It is an extremely important element in the human brain and we are lucky to be sensitized to its measurement when using high field MRI. Our work is finding that iron may be a biomarker of disease state, particularly for multiple sclerosis. More generally, we exploit MRI physics and engineering to enhance imaging methods or "pulse sequences" in new ways to gain more value from MRI. We are interested in susceptibility, structural and relaxation methods, as well as blood vessel imaging and spectroscopy. See my publication section for detailed reading.

A general comment is we want to bring about revolutions in the use of MRI by exploring untapped research areas. We generally do modelling in MATLAB and then apply our advances to normal volunteers and to specific diseases where the new methods can make a difference. One of the strengths of the program is the wide range of collaborating physicians in neurological and psychiatric diseases including depression, Parkinson's disease, multiple sclerosis, stroke, blood vessel disease and dementia. Once we develop new methods, we can apply them to a wide range of diseases within our MRI center with their help.

Another important aspect is that we own all our MRI machines and thus they are available for research all day long. Most students are thus able to complete all scanning needs in daytime hours and lead normal lives. Lastly from an international perspective, the ranking of the University can also be important, where University of Alberta is typically the 4th ranked school in Canada.



BME 513 - Imaging Methods in Medicine

Introduction to basic physical and technological aspects of medical imaging. Emphasis on computed transmission and emission tomography, magnetic resonance, and ultrasound imaging. These methods are developed and contrasted in terms of how imaging information is generated, detected, and processed and how different hardware configurations and other factors limit image quality. Relative diagnostic potential of the imaging methods is also discussed in relation to future prospects of each method.

Winter Term 2021

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