CMSC 2023 | Impact of image harmonization on MS imaging practice

Lianrui Zuo, MSE, The Johns Hopkins University, Baltimore, MD, discusses the implications of using image harmonization on MRI scans of multiple sclerosis (MS) patients. Image harmonization is a machine-learning algorithm that standardizes image contrast. Researchers hope that this will reduce unnecessarily repeated scans, which can be expensive and time-consuming, and allow for larger sample sizes in research, thereby increasing statistical power and leading to more confident statistical findings about MS. This interview took place at the Consortium of Multiple Sclerosis Centers (CMSC) Congress 2023 in Aurora, CO.

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