Structural Imaging

White matter — the brain's network of myelinated axonal pathways — is highly sensitive to vascular insults, making it a critical imaging target for studying aging and disease. The IRIS Lab investigates the interplay between white matter microstructural integrity (measured via diffusion MRI), white matter perfusion (measured via ASL), and white matter hyperintensities (WMH), which are markers of small vessel disease visible on conventional MRI.

The IRIS Lab actively develops and applies deep learning methods to solve challenging problems in neuroimaging, from image reconstruction to anatomical segmentation and parametric mapping. Notable contributions include a 3D convolutional neural network (CNN) that simultaneously estimates CBF and ATT from multi-delay ASL data, bypassing traditional fitting approaches that are sensitive to noise.