• Improve diagnosis, prognosis and treatment of patients with brain injury as a result of stroke, cardiac arrest or trauma
  • Develop methods for quantifying and monitoring brain disease progression
  • Translate research from benchside to bedside


  • Stroke
    • Predicting tissue outcome using statistical algorithms to combine multiparametric MRI
    • Evaluating therapeutic efficacy using statistical algorithms

      2384-93. Epub 2006 Aug 3.

    • Patient triage
      • MR WITNESS: patients with unwitnessed strokes
    • Novel MRI markers of tissue viability
      • MR-based oxygen extraction measures in the brain
      • Diffusion tensor and kurtosis imaging
      • Advanced perfusion imaging techniques (dynamic susceptibility contrast imaging and arterial spin labeling)
  • Cardiac Arrest
    • Prediction of long-term neurologic outcome in comatose cardiac arrest patients using multimodal techniques (MRI, EEG and clinical exam)


  • Traumatic Brain Injury
    • Mild TBI: Improve diagnosis and prognosis using MRI biomarkers
    • Severe TBI: Prediction of long-term neurologic outcome using multimodal technique


Supported in part by a SPARK grant from the MGH Institute for Heart, Vascular and Stroke Care; PHS NIH grants R01NS059775, R01NS063925, P50NS05134, U01NS069208, R01NS051412, P41EB015896.