Abstract #1765

CNN-based Off-resonance Correction in Cardiac Spiral MRI

Shishuai Wang¹, Pedro F Ferreira², Zohya Khalique², Margarita Gorodezky², Malte Roehl², Jialin Pu³, Dudley J Pennell², Sonia Nielles-Vallespin², and Andrew D Scott²

¹Department of Physics, Imperial College London, London, United Kingdom, ²Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital and National Heart and Lung Institute, Imperial College London, London, United Kingdom, ³College of Information And Communication Engineering, Harbin Engineering University, Harbin, China

Synopsis

Spiral trajectories are time efficient but are susceptible to off-resonance artefacts. Many approaches to off-resonance correction require a high-quality B0 field map. Here we train a convolutional neural network to remove the off-resonance artefacts using simulated cardiac spiral MRI and validate our methods by applying this network to diffusion tensor cardiovascular MR (DTCMR) data acquired with spiral trajectories.

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