Researcher

Colin Studholme

Colin Studholme is a researcher who develops computational image-analysis methods to map brain structure and function from MRI. He earns a BEng at Bradford in 1990, an MSc at Edinburgh in 1991, and a PhD at the University of London in 1997, then completes a 1998–2000 postdoctoral appointment in Yale's Diagnostic Radiology department. His work includes a 1999 method for 3D medical image alignment, a 2006 fetal MRI reconstruction method, and a 2008 UCSF approach that combines diffusion-tensor data with MRI morphometry. At the University of Washington, he studies motion-corrected fetal brain activity and growth; as of October 2026, he is a professor of Bioengineering and Pediatrics.

Works
219
Citations
18,536
h-index
59

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1990–1997

    Degrees at Bradford, Edinburgh and London

    He earns a BEng at Bradford in 1990, an MSc at Edinburgh in 1991, and a PhD at the University of London in 1997.

  2. 1998–2000

    Yale diagnostic radiology postdoc

    He works as a postdoctoral fellow/associate in Yale's Diagnostic Radiology department from 1998 to 2000.

  3. 1999

    3D medical image alignment

    In 1999, he coauthors an overlap invariant entropy measure for 3D medical image alignment in Pattern Recognition.

  4. 2006

    High-resolution fetal brain MRI

    In 2006, he coauthors a registration method that reconstructs high-resolution MR images of the fetal brain in utero.

  5. 2008

    Diffusion data in MRI morphometry

    In 2008, at UCSF's Biomedical Image Computing Group, he describes a method that incorporates diffusion-tensor data into conventional MRI morphometry.

  6. 2016–2017

    Four-dimensional fetal brain activity

    In 2016, a UW team corrects motion to make four-dimensional reconstructions of fetal brain activity, and Studholme is the paper's senior author. In 2017, he presents computational imaging techniques for the UW fetal brain database project at MIT, including methods to address extreme fetal head motion.

  7. 2020

    Motion-corrected fetal brain growth

    In 2020, he coauthors a study that uses motion-corrected MRI to distinguish male and female human brain growth trajectories from mid-gestation.

  8. As of October 2026

    Professor at Washington

    As of October 2026, he is a professor of Bioengineering and Pediatrics at the University of Washington. His group develops computational and mathematical techniques to map brain structure and function.

Career

  1. Since 2011University of WashingtonProfessor of Bioengineering and Pediatrics
  2. 2005–2009Northern California Institute for Research and Education
  3. 2001–2011University of California, San Francisco
  4. 1998–2000Yale UniversityPostdoctoral fellow/associate

Education

  1. 1997University of LondonPhD
  2. 1991University of EdinburghMSc
  3. 1990University of BradfordBEng

Sources and credits

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  1. Colin Studholme | UW College of Engineering engr.washington.edu. Checked 21 October 2026.
  2. Dense feature deformation morphometry: Incorporating DTI data into conventional MRI morphometry pmc.ncbi.nlm.nih.gov. Checked 21 October 2026.
  3. New Technology Reveals Fetal Brain Activity newswise.com. Checked 21 October 2026.
  4. Biomedical Imaging and Analysis 2016/2017 | MIT CSAIL csail.mit.edu. Checked 21 October 2026.
  5. Motion corrected MRI differentiates male and female human brain growth trajectories from mid-gestation | Nature Communications nature.com. Checked 21 October 2026.