Development of an image reconstruction algorithm to assess brain oxygenation in neonatal asphyxia using quantitative susceptibility mapping
Daniel Ridani1,2, Noée Ducros-Chabot1,2, Mathieu Dehaes2,3, and Benjamin De-Leener1,2,4
1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montreal, QC, Canada, 2Research Center, Ste-Justine Hospital University Centre, Montreal, QC, Canada, 3Department of Radiology, Radio-oncology, and Nuclear Medicine, Université de Montréal, Montreal, QC, Canada, 4Department of Computer and Software Engineering, Polytechnique Montréal, Montreal, QC, Canada
Neonatal asphyxia is a condition that causes lack of oxygen in the infant brain which lead to adverse neurodevelopmental outcomes. MRI provides a very clear image of the brain which lead to a detection of a variety of brain abnormalities. Quantitative susceptibility mapping (QSM) is a MRI tool to quantify brain oxygenation. In this study, we developed QSM reconstruction algorithms and tested them in data acquired in patients following neonatal asphyxia. Results include the comparison of five methods to generate QSM images in the brain specific segmented regions. Our preliminary data suggest that image intensity depends on the reconstruction method.
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