Dr. Carl-Fredrik Westin
Professor, Harvard Medical School
Carl-Fredrik (C-F) Westin is the founding director of the Laboratory of Mathematics in Imaging (LMI, http:// lmi.med.harvard.edu), and he is Professor of Radiology at Harvard Medical School, Boston. Additionally, he has a joint appointment with the MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA. The Laboratory of Mathematics in Imaging is focused on the application of mathematical theory, analysis, modeling, and signal processing to medical imaging applications.
Dr. Westin’s main direction of research is the development of novel methods for analysis of imaging data. He has been involved in imaging studies, including structural, functional and diffusion-weighted magnetic resonance imaging (dMRI) studies since 1996 when he joined Brigham and Women’s Hospital and Harvard Medical School. Over the past two decades, Dr. Westin has developed considerable expertise in all aspects of dMRI. He has (co)-authored over 250 publications, abstracts excluded, in the fields of computer vision, medical image analysis and image guided surgery, of which over 150 are in peer-reviewed international journals. His laboratory is known for developing new algorithms and technology for analysis of dMRI data. During his career, Dr. Westin has mentored five undergraduate students, 22 graduate students, 17 post-doctoral fellows, four medical students, and eight junior faculty. He has served as a Guest Editor on several special issues on image analysis (IEEE Transactions on Medical Imaging, International Journal of Computer Vision, Signal Processing).
During the past five years, Dr. Westin and his team have been working on the next generation dMRI, which has the potential to vastly improve tissue characterization. These methods have transformed what it is possible to measure by probing features of micron-scale transport processes (and thus microstructure) that are invisible with today’s standard techniques. One central concept of these methods is tensor-valued diffusion encoding, where the classical b-value in diffusion MRI extends to a B-tensor. This concept was introduced in [Westin2014]. A more complete description of this multidimensional diffusion MRI framework was published in [Westin2016]. These acquisition and analysis paradigms can improve discrimination of the sizes, shapes, and orientations of diffusion microenvironments within tissue. The aim of this new work is the development of methods that can clearly distinguish among different tissue architectures in clinical diffusion MRI. The novel methods explore the power of time-varying gradients that probe trajectories in q-space, which is termed “q-space trajectory imaging” (QTI). QTI has the potential to make available a range of new measures with greater sensitivity and specificity to the nature of tissue structure and pathology in the human brain.
Scientific communities involvement:
- Editorial Board Journal of Biomedical Informatics
- Area Chair MICCAI: 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014
- Program/Review Committee: CVPR, ICCV, MICCAI, ECCV, ICPR, ISBI, MMBIA, etc.
- Area Editor for Pattern Recognition Letters
Conference organization experience:
- Diffusion Tutorials at the conference Medical Image Computer and Computer Assisted Intervations: MICCAI 2007, MICCAI 2008, MICCAI 2009, MICCAI 2010
- Track Chair, World Congress 2009, Medical Physics and Biomedical Engineering
- MMBIA 2007: Program Chair (over 100 delegates)
- EUROCAST 2003: Program Chair Neuroimage (over 100 delegates)
- IPMI 2015: Co-chair (over 130 delegates)
Department of Radiology, 1249 Boylston Street, Boston, MA 02215