Fetal MRI

Fetal MRI focuses on non-invasive imaging of the developing fetus to assess brain structure and function, aiding in early diagnosis of abnormalities and monitoring neurodevelopment. Current research emphasizes improving image quality through motion correction techniques (often employing deep learning models like diffusion models, U-Nets, and transformers) and automated segmentation of brain tissues using various deep learning architectures, including cascade networks and attention mechanisms. These advancements enhance the accuracy and efficiency of fetal brain analysis, potentially leading to improved prenatal diagnosis and personalized interventions for congenital brain anomalies and other developmental conditions.