Impact of a deep-learning image reconstruction algorithm on ventilation and perfusion parameters derived by phase-resolved functional lung (PREFUL) magnetic resonance imaging (MRI) in a prospective healthy cohort

DL-based image reconstruction enhances image quality in lung MRI without altering ventilation or perfusion quantification from PREFUL analysis. In healthy individuals with normal PFTs, this approach can be safely integrated into functional lung MRI workflows. These results highlight the preservation of image characteristics with DL-based reconstruction and the robustness of the PREFUL method.