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Christopher Rowley

2024-01-10 @ 14:00 - 15:00 EST

Please join us on Wednesday, January 10, 2024, 2:00 PM, for the next CIC Imaging Series.


Christopher Rowley
Assistant Professor, Department of Physics and Astronomy, McMaster University, Hamilton Ontario



Quantitative MRI – Developing Biomarkers for Brain Change


Short Bio

Dr. Christopher Rowley is an Assistant Professor in the Department of Physics and Astronomy at McMaster University. He completed his post doctoral research at the McConnell Brain Imaging Center at the Neuro at McGill University. He completed his BSc in Medical Physics and his PhD in Neuroscience, both at McMaster University in Hamilton Ontario. His doctoral work with Dr. Nicholas Bock centered around characterizing the cortical microstructure of the brain using MRI. His post doctoral work in the labs of Drs. Christine Tardif and Bruce Pike has focused on developing more specific MR measures for brain myelination, with his most recent work on optimizing inhomogeneous magnetization transfer imaging.


Talk description

There is an intrinsic relationship between the structure and function of the human brain, which has motivated researchers to characterize the brain’s microstructure to gain a better understanding of how the brain functions. This talk will delve into the fascinating realm of using quantitative Magnetic Resonance Imaging (MRI) techniques to explore the intricate landscape of brain microstructure. By employing quantitative MRI methodologies, researchers can obtain insights into the spatial organization and composition of neural tissues at a microscopic level. This presentation will not only highlight the significance of quantitative MRI in studying various aspects of brain microstructure, such as myelin content, and iron-loading, but also focus on the crucial aspect of removing scanner-related biases. Addressing and mitigating these biases is essential for improving our ability to accurately detect changes in microstructure, ensuring robust and reliable outcomes. Through a comprehensive examination of qMRI metrics, analytical approaches, and bias correction methods, the talk aims to showcase the potential of qMRI as a powerful tool for unraveling the complexities of the brain’s microstructural architecture.

How to attend:


14:00 - 15:00 EST
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