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

Surgical Planning Laboratory

Kilian M. Pohl, Ph.D.

Harvard Medical School
Brigham and Women's Hospital
Department of Radiology
75 Francis Street
Boston, MA 02115
e-Mail

Research Interests [ more... ]
My main research area is computational image analysis with an emphasis on studying statistical models from a Bayesian perspective. My research covers object localization and recognition, data alignment, and shape representation, with a particular focus on neuroimaging. It is my long term goal to enhance patient care by creating algorithms for automatically quantifying and generalizing the information latent in images for tasks such as disease analysis and surgical planning.
CV [ more ... ]
2006 - Instructor of Radiology - BWH, Harvard Medical School, Boston, MA
2005 - 2006 Research Fellow - BWH, Harvard Medical School, Boston, MA
2005 - Research Affiliate, Postdoctoral Associate - CSAIL, MIT, Cambridge, MA
2001 - 2005 Research Associate - CSAIL, MIT, Cambridge, MA
1999-2001 Training Manager - Propack Data Corporation, Cary, NC
1999 M.Sc. (Mathematics) - Universitaet Karlsruhe(TH), Germany
Awards
2007 Best Paper Prize, Medical Image Analysis - MICCAI 06, 2007
2004 Student Award, IEEE International Symposium on Biomedical Imaging
Publications [ more ... ]
[1] K.M. Pohl, R. Kikinis, and W.M. Wells. Active mean fields: Solving the mean field approximation in the level set framework. In Information Processing in Medical Imaging, vol. 4584 of Lecture Notes in Computer Science, pages 26-37. Springer-Verlag, 2007.
[2] K.M. Pohl, J. Fisher, S. Bouix, M.E. Shenton, R.W. McCarley, W.E.L. Grimson, R. Kikinis, and W.M. Wells. Using the logarithm of odds to define a vector space on probabilistic atlases. Medical Image Analysis, 11(6), pp. 465-477, 2007.
[3] K.M. Pohl, S. Bouix, M. Nakamura, T. Rohlfing, R.W. McCarley, R. Kikinis, W.E.L. Grimson, M.E. Shenton, and W.M. Wells. A hierarchical algorithm for MR brain image parcellation. IEEE Transactions on Medical Imaging, 26(9),pp 1201-1212, 2007.
[4] K.M. Pohl, J. Fisher, W.E.L. Grimson, R. Kikinis, and W.M. Wells. A Bayesian model for joint segmentation and registration. NeuroImage, 31(1), pp. 228-239, 2006.
Software
Most of the software related to my publications is publicly available through 3D Slicer, a freely available, open-source software package for visualization, registration, segmentation, and quantification of medical data.
  • EMAtlasBrainClassifier: a simple to use software tool for segmenting two channel MR images into the major brain compartments. Please read the tutorial before using the segmenter.
  • EMLocalSegment: A more advanced segmentation tool that can be adjusted to a wide variety of MR image segmentation problems. We are currently working on a documentation for this tool
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