Diffusion Tensor Imaging
Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique used to map the diffusion of water molecules in biological tissues, primarily to visualize and quantify the brain's white matter tracts. Current research focuses on improving DTI accuracy and efficiency through deep learning methods, including convolutional neural networks and transformer networks, often addressing challenges like noise reduction and the need for fewer scan acquisitions. These advancements enhance the reliability and clinical utility of DTI for diagnosing neurological disorders, studying brain development, and predicting patient outcomes, particularly in situations where traditional DTI acquisition is limited.
Papers
Streamline tractography of the fetal brain in utero with machine learning
Weide Liu, Camilo Calixto, Simon K. Warfield, Davood Karimi
Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks
Gang Qu, Ziyu Zhou, Vince D. Calhoun, Aiying Zhang, Yu-Ping Wang