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Through combining information from MRI and microscopy, this research aims to propose advanced computational methods for the registration, reconstruction, and analysis of brain images. To improve the accuracy and resolution of the combined brain scans, a key component of this effort is the application of statistical techniques to create correlations between the various imaging modalities. Our approach focuses on developing sophisticated reconstruction procedures to generate high-definition composite images, reliable image registration algorithms to precisely superimpose MRI and microscopy images, and analytical tools that take advantage of these correlations to extract more profound insights from intricate neurological data. By providing researchers and clinicians with better tools to study brain anatomy and function, this improved imaging and analysis capabilities will greatly advance the diagnosis and management of neurological disorders.
Alan Evans
University of Eastern Finland
Life Sciences
Health and Related Sciences & Technology
McGill University
Globalink Research Award
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