Abstract #1987

Development of an image reconstruction algorithm to assess brain oxygenation in neonatal asphyxia using quantitative susceptibility mapping

Daniel Ridani^1,2, Noée Ducros-Chabot^1,2, Mathieu Dehaes^2,3, and Benjamin De-Leener^1,2,4

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

Synopsis

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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