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Abstract #5003

Deep Learning Denoising Reconstruction (DLR) Preserves Quantitative DWI and DCE Signal Intensity Measures in Prostate MRI

Hung Phi Do1, Brian Tymkiw1, Dawn Berkeley1, and Mo Kadbi1
1Canon Medical Systems USA, Inc., Tustin, CA, United States

Synopsis

Deep Learning Reconstruction (DLR) has recently been translated into clinical practices as a few DLR methods have received FDA 510-k clearance. Given its novelties, rigorous evaluations are essential to ensure the safety and efficacy of DLR before routine clinical use. This work aims to investigate whether DLR preserves quantitative measures from DWI and DCE prostate MRI. The results show that the average signal intensities measured from routine images are similar (less than 1% difference) to those measured from DLR images.

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