Diffusion Tensor Imaging (DTI) is a magnetic-resonance-based neuroimaging technique that visualizes the diffusion of water molecules along white-matter tracts, allowing researchers to map brain connectivity. It is a cornerstone in modern neuroscience, offering unparalleled insights into neural-pathway integrity and microstructural organization.

The Diffusion Tensor Imaging (DTI) session highlights the science and applications of diffusion imaging for studying neurological and psychiatric disorders. Through quantitative metrics such as fractional anisotropy and mean diffusivity, DTI reveals axonal damage, demyelination, and connectivity loss invisible to conventional MRI.

At the DTI Conference, experts discuss cutting-edge imaging pipelines, machine-learning-based segmentation, and tractography algorithms. DTI has become indispensable in diagnosing conditions like multiple sclerosis, traumatic brain injury, and stroke. It also supports presurgical planning by identifying functional pathways that must be preserved.

This session benefits radiologists, neuroscientists, and clinicians seeking to interpret white-matter alterations and integrate DTI data into research or patient care. It also examines challenges in standardization, motion correction, and reproducibility across scanners.

Ongoing progress in Neuroimaging and Diagnostic Techniques ensures DTI continues to refine the understanding of neural connectivity, brain plasticity, and disease progression.