Technical note: Minimizing CIED artifacts on a 0.35 T MRI-Linac using deep learning

CONCLUSION: CycleGAN-generated reconstructions significantly improved both tracking and image quality metrics when used to mitigate artifacts from ICDs.PMID:38368615 | DOI:10.1002/acm2.14304

Source: Journal of Applied Clinical Medical Physics - February 18, 2024 Category: Physics Authors: Austen N Curcuru Deshan Yang Hongyu An Phillip S Cuculich Clifford G Robinson H Michael Gach Source Type: research