Keywords: Structural Connectivity, Neurodegeneration
Motivation: Olfactory bulb and tract imaging with high resolution is required for patient evaluation
Goal(s): Optimized protocol along with super resolution deep learning to improve olfactory bulb and tract imaging
Approach: Optimized T2 weighted and DTI imaging along with deep learning reconstruction was performed and results were evaluated
Results: Good agreement between existing and proposed methods were observed while the proposed methods improves resolution with better noise performance.
Impact: This work will allow olfactory system high resolution imaging to serve as a diagnostic tool for patient evaluation.
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