Development of Fast Longitudinal Cortical surface extraction, deformation, and Normalization (FALCON) for the measurement of cortical thickness over time from brain magnetic resonance images Year Two

The project involves development, validation, and application of new medical image analysis algorithm where cortical thickness is measured from serial brain magnetic resonance imaging (MRI) with improved efficiency and greater sensitivity. Cortical thickness is a relatively new metric that correlates with clinical and cognitive worsening in a variety of neurologic disorders such as multiple sclerosis and Alzheimer's disease. Because the partner industry, NeuroRX, is a contract research organization that evaluates potential neurologic therapies through analysis of MRIs, NeuroRX will significantly benefit from the proposed technology, directly applying the new technology for MRI analysis. Academically, we will distribute the developed algorithm as Freeware so that researchers around the world can use it. The distribution of the developed algorithm helps validate the robustness of the developed software and advance understanding of normal, developmental, and diseased brains.

Kunio Nakamura
Faculty Supervisor: 
Dr. Louis Collins
Project Year: