Magnetic Resonance Imaging (MRI) is a widely adopted modality in clinical diagnostics due to its high-resolution and non-invasive nature. However, the image quality is often compromised by geometric distortions arising from inaccurate settings of the spatially encoded gradient intensity () parameter, adversely affecting diagnostic reliability. To address this challenge, we propose a novel correction method that integrates depth camera data with MRI imaging.
Guo et al. (Tue,) studied this question.