Diffusion Tensor

Diffusion tensor imaging (DTI) uses magnetic resonance imaging to map the diffusion of water molecules in biological tissues, primarily to infer the orientation and integrity of white matter fiber tracts in the brain and the microstructure of the heart. Current research focuses on improving DTI accuracy and efficiency through advanced deep learning techniques, including convolutional neural networks (CNNs), transformer networks, and generative adversarial networks (GANs), often incorporating strategies like self-supervised learning and uncertainty quantification to address limitations posed by noise and limited data. These advancements are significantly impacting neuroscience and cardiology by enabling more accurate and reliable assessments of brain structure and cardiac function, potentially leading to improved clinical diagnosis and treatment.