For patients with Crohn’s Disease, reduction of radiation exposure during imaging exams is critical as life-long surveillance is often required. This research aims to reconstruct full dose PET images from low dose and MR images using a deep learning approach. Based on the analysis in twenty patients utilizing Leave-One-Out-Cross-Validation, a 10x reduction from clinical FDG tracer dose is attainable.
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