Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

Surgical Planning Laboratory

Sonia Pujol, Ph.D.

Assistant Professor of Radiology, Harvard Medical School
Director of Outreach of the Neuroimaging Analysis Center (NAC)
Director of Training of the 3D Slicer Open-source Software Platform

Dr. Sonia Pujol is an Assistant Professor of Radiology at Harvard Medical School, and a research scientist at the Surgical Planning Laboratory at the Brigham and Women's Hospital in Boston. Her research focuses on the development and validation of brain mapping technology for neurosurgical intervention which includes 3D exploration of white matter architecture using Diffusion MRI for brain tumor surgery planning and tractography reconstructions of white matter fibers in the basal ganglia for deep brain stimulation intervention.

Dr. Pujol is leading the DTI Tractography Challenge effort to establish the validity of tractography reconstructions for neurosurgical decision making. The project has brought together an international working group of 25 leading research teams in Diffusion MRI and 15 world-class neurosurgeons in the form of DTI Challenge workshops at the Medical Image Computing and Computer Assisted Intervention (MICCAI) conference.

Dr. Pujol is actively involved in teaching and technology transfer. She is the Director of Outreach of the Neuroimage Analysis Center, and Director of Training of the 3D Slicer open-source software platform. Dr. Pujol also serves as course instructor in medical image analysis in the Harvard-MIT Division of Health Sciences and Technology (HST), and as lecturer in research methodology and artificial intelligence in the Radiology Residency Program at Brigham and Women’s Hospital, Harvard Medical School.

Since joining Harvard University, Dr. Pujol has been teaching medical image analysis and delivering hands-on training workshops using 3D Slicer at major U.S. national universities, which include Stanford, MIT, UCLA, USC, Dartmouth, UNC, Johns Hopkins, and UCSF, and international academic centers and hospitals in Europe, Japan and China. Over the past 14 years, she has trained more than 3,500 clinicians and scientists on a wide range of topics that include image segmentation, image registration, 3D visualization, diffusion tensor imaging, image-guided therapy and artificial intelligence.

Dr. Pujol graduated with a PhD in Biomedical Engineering and a post-graduate degree in Functional Materials and Nanophysics from the University Joseph Fourier, Grenoble, France. During her PhD thesis work, she developed a prototype navigation system for computer-assisted endovascular surgery of abdominal aortic aneurysm with reduced radiation exposure. Dr. Pujol was trained as a physicist and a computer scientist in French Engineering schools. She holds a MSc in Physics and a MSEng in Computer Science and Applied Mathematics from the Ecole Nationale Supérieure de Physique de Grenoble and the Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble, which she integrated after completing the French preparatory classes to national competitive exams at the lycee Pierre de Fermat in Toulouse, France.

E-mail: spujol at

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