Simon Warfield

Dr. Warfield is the Thorne Griscom Chair of Radiology at Harvard Medical School, the Director of the Computational Radiology Laboratory (CRL), and the Director of Research of the Department of Radiology at Boston Children's Hospital.

Dr. Warfield founded the Computational Radiology Laboratory in 2001. The CRL was formed with the mission of improving our understanding of the structure and function of the brain and other organs of the human body, in order to improve our capacity to diagnose and treat disease. Members of the CRL achieve this by developing novel technologies and computational modeling strategies for understanding and interpreting radiological images.

His research in the field of medical image analysis has focused on methods for quantitative image analysis through novel segmentation and registration approaches, and in real-time and large data image analysis, enabled by high performance computing technology. Algorithms developed by Dr. Warfield have been applied in several domains, including developing an improved understanding of early brain development, to understanding the association between white matter lesions and cognitive dysfunction in multiple sclerosis, and in enhancing navigation and visualization during image guided surgery.

Before joining Boston Children's Hospital in January 2007, Dr. Warfield was in the Department of Radiology at Brigham and Women's Hospital. He studied for a PhD at the School of Computer Science and Engineering of the University of New South Wales, in Sydney, Australia. His PhD in Computer Science and Engineering was awarded in April 1997.

Name: Simon Warfield
Title: Director, Computational Radiology Laboratory,
Thorne Griscom Chair of Radiology

Email: simon.warfield [at]

Wolbach 215, Department of Radiology
Boston Children's Hospital
300 Longwood Avenue
Boston MA 02115

Telephone: (617) 355-4566
Fax: (617) 730-4644
    Clinical Applications
  • Brain development and newborn MRI
  • Pediatric epilepsy surgical planning
  • Image Guided Therapy
  • Tumor segmentation
  • Urological applications
  • Analysis of Multiple Sclerosis from MRI
  • Bayesian Source Localization from EEG and MEG
  • Nonrigid registration
  • Image segmentation
  • Statistical atlas construction
  • High resolution magnetic resonance imaging
  • Analysis of Alzheimer's Disease from MRI
  • Validation strategies