There is growing research in diffusion tensor imaging (DTI) for providing metrics and images of physeal structure and function, particularly in evaluating children with possible growth disorders. There is a need for a faster automated process to segment the diffusion data, however. We utilized a deep learning algorithm to automatically generate a region of interest (ROI) for use in fully automatic diffusion tensor tractography of cartilage columns in the distal femoral physis. Read More

Meeting name: SPR 2020 Annual Meeting & Postgraduate Course , 2020

Authors: Mutasa Simukayi, Liu Michael, Duong Phuong, Jambawalikar Sachin, Mostoufi-moab Sogol, Jaramillo Diego

Keywords: Deep learning, growth disorders, MRi