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Abstract #2375

Evaluation of AI-based Direct Contrast Synthesis in the Pediatric Brain

Usha Nagaraj1, Jakob Meineke2, Jean Tkach1, James Leach1, and Mariya Doneva2
1Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Philips Research, Hamburg, Germany

Synopsis

Keywords: Neuro, Neuro

Motivation: Direct contrast synthesis (AI-DCS) enables the derivation of synthetic images from a trained neural network. Its utility in clinical practice has yet to be adequately explored.

Goal(s): To evaluate the image quality and diagnostic confidence of these synthetic images in the brain in the pediatric population.

Approach: The study radiologist compares the image quality and diagnostic confidence of AI-DCS images to standard of care (SOC) and SyMRI.

Results: AI-DCS demonstrates better overall image quality and diagnostic confidence than SyMRI on T1, T2 and FLAIR in majority of patients. AI-DCS demonstrates better overall image quality on FLAIR when compared to SOC.

Impact: AI-DCS demonstrates improved image quality and diagnostic confidence compared to SyMRI and comparable image quality to the current standard of care.

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Keywords