Abstract
The National Alliance for Medical Imaging Computing (NA-MIC)
The National Alliance for Medical Imaging Computing (NA-MIC) is a multi-institutional, interdisciplinary team of computer scientists,
software engineers, and medical investigators who develop computational tools for the analysis and visualization of medical image data. The
purpose of the center is to provide the infrastructure and environment for the development of computational algorithms and open source
technologies, and then oversee the training and dissemination of these tools to the medical research community. This world-class
software and development environment serves as a foundation for accelerating the
development and deployment of computational tools that are readily accessible to the medical research community. The team combines
cutting-edge computer vision research (to create medical imaging analysis algorithms) with state of the art software engineering
techniques (based on "extreme" programming techniques in a distributed, open-source environment) to enable computational examination of both
basic neurosience and neurological disorders. In developing this infrastructure resource, the team will significantly expand
upon proven open systems technology and platforms.
The driving biological projects will come initially from the study of schizophrenia, but the methods will be applicable to many other
diseases. The computational tools and open systems technologies and platforms developed by NA-MIC will initially be used to study
anatomical structures and connectivity patterns in the brain, derangements of which have long been thought to play a role in the etiology of
schizophrenia. The overall analysis will occur at a range of scales, and will occur across a range of modalities including diffusion MRI,
quantitative EGG, and metabolic and receptor PET, but potentially including microscopic,
genomic, and other image data. It will apply to image data from individual patients,and to studies executed across large
poplulations. The data will be taken from subjects across a wide range of time scales
and ultimately apply to a broad range of diseases in a broad range of organs.
Biography
Dr. Kikinis is the Director of the Surgical Planning Laboratory of the Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston,
MA, and a Professor of Radiology at Harvard Medical School.
His interests include the development of clinical applications for image processing, computer vision and interactive rendering methods. He is currently
concentrating on developing fully automated segmentation methods and introducing
computer graphics into the operating room. He is the author of 174 peer-reviewed
articles.
Before joining Brigham & Women's Hospital in 1988, he worked as a researcher at the ETH in Zurich and as a resident at the University Hospital
in Zurich, Switzerland. He received his M.D. from the University of Zurich, Switzerland, in 1982.
Contact:
Ron Kikinis, M.D.
Surgical Planning Laboratory
Radiology; ASBI, L1-050
Brigham & Women's Hospital
75 Francis St.
Boston, MA 02115
617-732-7389
kikinis@bwh.harvard.edu
RETURN TO TOP
|
