Perelman School of Medicine at the University of Pennsylvania

Section for Biomedical Image Analysis (SBIA)

participating with CBICA


DTI’s inability to model crossings led to HARDI-based paradigms; however, these are unable to model the tissue in the presence of water contamination, as in the case of edema. Pathology causes variation in the “free-water”.  Existing work in free-water modeling, requires subject-specific initialization and fits a DTI model, which is unable to model crossings. Alternatively, they are based on sequences that have long acquisition times, or are clinically impractical. We are developing multi-compartment models that model the contaminant in the tissue separate from a higher order model diffusion model to model the underlying fibers. This is based on a multi-shell acquisition scheme that is short and clinically feasible. The applicability of the free-water measures is currently being investigated in TBI, determining tumor types and effect of treatment.


Mark Elliott — Radiology, Penn

Emmanuel Caruyer — INRIA, France


  1. Jérémy Lecoeur, Emmanuel Caruyer, Luke Macyszyn, Ragini Verma. Improving White Matter Tractography by Resolving the Challenges of Edema. MICCAI 2013 DTI Tractography Challenge, Sep 2013, Nagoya, Japan. 2013 <hal-00850496>
  2. Jérémy Lecoeur, Emmanuel Caruyer, Mark Elliott, Steven Brem, Luke Macyszyn, et al.. Addressing the Challenge of Edema in Fiber Tracking. MICCAI 2014 DTI Tractography Challenge, Sep 2014, Boston, United States. 2014. <hal-01072222>