Dr. Mikulis is a translational researcher who has shown the ability to apply imaging methods in novel ways with impact in clinical practice. Perhaps the best example of this is his contribution to stroke imaging where permeability measurement in acute ischemic has now become a very important topic being taken up as a priority by major researchers and funding agencies. It has the potential to extend the treatment window for thrombolysis (patients presenting greater than 6 hours after stroke but with normal permeability would theoretically be candidates for thrombolysis currently prohibited under current treatment protocols). He has also developed an important technology enabling quantitative measurement of cerebrovascular response that is making an impact on treatment selection in patients with cerebrovascular disease and could help to distinguish vascular from non-vascular dementia. Maturation of these tools is leading to changes in clinical practice.
Dr. Mikulis joined the Neuroradiology Staff at the University Health Network in 1991 where he is currently the Director of the Functional Brain Imaging Lab in the Joint Department of Medical Imaging at the University Health Network. He has over 215 peer reviewed scientific publications, has had the pleasure of supervising over 40 students toward successful completion of their graduate degrees (MSc and PhD), and was recently awarded the 2015 University of Toronto Department of Medical Imaging Faculty Research Award for outstanding research contributions including publications, peer reviewed funding, thesis supervision of degree candidates, and innovation (patents).
Industry Expertise (3)
Health Care - Services
Areas of Expertise (11)
Healthcare Information Technology
Faculty Research Award (professional)
Awarded by the University of Toronto Department of Medical Imaging.
Tufts University: M.D., Medicine 1981
- American Society of Functional Neuroradiology
Media Appearances (1)
Toronto doctors test brain scan technique that could predict Alzheimer’s
In a field known as a cerebrovascular reactivity (CVR) measurement, Mikulis and Fisher are currently conducting early studies to determine how well their unique diagnostic procedure might work ...
A neuroimaging assessment tool to visualize global and regional impairments in cerebral blood flow (CBF) and cerebrovascular responsiveness in individual patients with concussion remains elusive. Here the authors summarize the safety, feasibility, and results of brain CO2 stress testing in adolescents with postconcussion syndrome (PCS) and healthy controls.
Standard magnetic resonance imaging (MRI) rarely identifies the cause of hemorrhage in patients with an angiogram-negative, non-perimesencephalic subarachnoid hemorrhage (SAH). Yet up to 10 % of these patients have recurrent hemorrhage. The aim of the study was to explore the potential role of high-resolution contrast-enhanced 3-Tesla vessel wall-MRI in patients with angiogram-negative SAH.
Previous comparison using voxel-based morphometry (VBM) of MR images from a large sample of pedophiles and controls revealed group differences in white matter. The present study therefore sought to verify and characterize white matter involvement using diffusion tensor imaging (DTI), which better captures the microstructure of white matter than does VBM. Results confirm that pedophilia is characterized by neuroanatomical differences in white matter microstructure, over and above any neural characteristics attributable to psychopathy and childhood adversity, which show neuroanatomic footprints of their own.
Spinal cord segmentation is a developing area of research intended to aid the processing and interpretation of advanced magnetic resonance imaging (MRI). For example, high resolution three-dimensional volumes can be segmented to provide a measurement of spinal cord atrophy. Spinal cord segmentation is difficult due to the variety of MRI contrasts and the variation in human anatomy. In this study we propose a new method of spinal cord segmentation based on one-dimensional template matching and provide several metrics that can be used to compare with other segmentation methods.
The frequency of traumatic brain injury (TBI) co-occurring with traumatic spinal cord injury (tSCI) is unclear despite a number of past studies; as well, limited research has examined predictors of co-morbid TBI in tSCI patients. Varied methodological approaches, particularly the decision to include/exclude ambiguous cases, likely explain disparate past estimates of TBI in tSCI. However, even this study's lower frequency estimate, at nearly 40%, is clinically important. The prevailing assumption that dual diagnosis is less common in thoracic than cervical spine injuries was not supported.