Large-scale 3D non-Cartesian coronary MRI reconstruction using distributed memory-efficient physics-guided deep learning with limited training data.
Chi ZhangDavide PicciniOmer Burak DemirelGabriele BonannoChristopher W RoyBurhaneddin YamanSteen MoellerChetan ShenoyMatthias StuberMehmet AkcakayaPublished in: Magma (New York, N.Y.) (2024)
PG-DL reconstruction of large-scale 3D non-Cartesian MRI without compromising image size or network complexity is achieved, and the proposed 2.5D processing enables high-quality reconstruction with limited training data.