Prospective Graduate Students / Postdocs
This faculty member is currently not actively recruiting graduate students or Postdoctoral Fellows, but might consider co-supervision together with another faculty member.
Shannon Kolind
Assistant Professor
Research Classification
Imaging
Research Interests
MRI
medical physics
multiple sclerosis
spinal cord
brain
Neurological Disease
myelin
Relevant Degree Programs
Research Methodology
MRI
Great Supervisor Week Mentions
Each year graduate students are encouraged to give kudos to their supervisors through social media and our website as part of #GreatSupervisorWeek. Below are students who mentioned this supervisor since the initiative was started in 2017.
Shannon is a great supervisor because of her perceptive ability to identify the unique needs of different students. By recognizing different styles, interests, abilities, and backgrounds, Shannon creates an environment tailored to each individual, where they can flourish.
I offer my heartfelt thanks to Drs. Shannon Kolind and Anthony Traboulsee, who have taught me more than I could ever have learned in a classroom. They have provided me with unconditional support and care, and encouraged critical thinking and professional growth. Even with their busy schedules, they regularly met with me to ensure that I was meeting my goals and had all necessary resources. I am very grateful for their mentorship, trust and guidance! #GreatSupervisor week at #UBC.
Graduate Student Supervision
Master's Student Supervision (2010-2017)
Characterization of myelin water imaging using a gradient and spin echo sequence in human brain and spinal cord (2016)
Myelin water imaging is a quantitative magnetic resonance imaging technique that can be used as an in vivo biomarker for myelin in the central nervous system. In 2007, a paradigm shift took place when the standard sequence for myelin water imaging changed from a multi-echo spin echo sequence to a gradient and spin echo (GRASE) sequence. The GRASE sequence has so far only been applied to brain imaging, and reproducibility between different scan vendors has not been assessed. In this study I present the first implementation of myelin water imaging using GRASE in human cervical spinal cord. The reproducibility of myelin water imaging in the spinal cord was found to be high (coefficient of variation = 6.1%, Cronbach’s α = 0.89). A multicenter reproducibility study of myelin water imaging in brain between two scan vendors (Siemens and Philips) was also performed. Results from the two scanners were found to be highly correlated but with a significant offset in myelin water fraction of 4.3%. Together, these two studies provide strong evidence of the reproducibility of myelin water imaging. It is an important step forward in the development of bringing myelin water imaging to the mainstream.
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