PhD student Mohammad Alipoor wins the Diffusion MRI Modelling Challenge at MICCAI 2013
PhD student Mohammad Alipoor, from the Signal Processing Group, has won the Diffusion MRI Modeling Challenge at the MICCAI 2013 Workshop on Computational Diffusion MRI held in Nagoya, Japan. The aim of the challenge was to identify the mathematical model for diffusion MRI that best describes the signal from in-vivo human brain white matter. Participation in the challenge involved the submission of an abstract, and model predictions for a given DTI protocol. Mohammad’s supervisors are Irene Gu and Andrew Mehnert (MedTech West).
Mohammad Alipoor also presented his paper (co-authored with his supervisors and Dr D Nilsson and Dr Y Lilja from Sahlgrenska University Hospital) entitled “Optimal Diffusion Tensor Imaging with Repeated Measurements”. MICCAI (The International Conference on Medical Image Computing and Computer Assisted Intervention) is the foremost international scientific conference in the field. It attracts leading scientists and maintains a high scientific standard through peer review (this year’s paper acceptance rate was ~30%). Congratulations, Mohammad!