Welcome to the RIIPL lab, a pioneering force in neuroimaging research housed within the Wake Forest School of Medicine. Our lab specializes in applying advanced image analysis techniques—ranging from diffeomorphic registration to innovative artificial intelligence algorithms—to tackle complex medical challenges. Our focus extends through diverse areas such as Diabetes, Dyslexia, Aging, Music, Brain Tumors, and Alzheimer's Disease, leveraging our expertise in:

  • Medical 3D Printing to create anatomical models for surgical planning and education.
  • Immersive Technologies including Virtual Reality (VR), Extended Reality (XR), and Spatial Computing to enhance diagnostic accuracy and therapeutic applications.
  • Advanced Artificial Intelligence in medical imaging to improve the precision and speed of image analysis.

At RIIPL, we maintain a robust automated pipeline for both functional and structural image processing, supporting a broad range of scientific research and clinical studies. Our infrastructure ensures seamless management of extensive imaging datasets, aiding studies on Aging Dementia, Parkinson's Disease, traumatic brain injuries related to sports, and substance dependence.

Our team is a multidisciplinary collective of experts from Biomedical Engineering, Computer Science, Neuroradiology, and Medical Physics. We employ sophisticated analysis methods including:

  • Diffusion Tensor and Kurtosis Imaging
  • Neurite Orientation Dispersion and Density Imaging
  • Resting-State BOLD Imaging
  • Pseudo-Continuous Arterial Spin Labeling (pCASL) Imaging
  • Susceptibility Weighted Imaging

The RIIPL lab is actively expanding its team and collaborations. We are currently accepting applications for graduate students and postdoctoral researchers, offering a select number of internships to undergraduate students over the summer. We welcome discussions with prospective collaborators from academia and industry who are eager to advance the frontiers of medical imaging.