Difference between revisions of "Workshop on Ontology of Images"
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The workshop is designed to be of value to all those involved in biocomputing in the imaging domain, including representatives of those NCBCs who use or develop imaging technologies. | The workshop is designed to be of value to all those involved in biocomputing in the imaging domain, including representatives of those NCBCs who use or develop imaging technologies. | ||
| − | + | This workshop was funded by the United States National Institutes of Health (NIH) through the NIH Roadmap for Medical Research, Grant 1 U 54 HG004028. Information on the National Centers for Biomedical Computing can be found at [http://nihroadmap.nih.gov/bioinformatics]. Additional support has been provided by Agfa, GlaxoSmithKline (GSK) and Language & Computing (L&C). | |
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== Participants == | == Participants == | ||
Revision as of 13:18, 15 February 2006
Background
The National Center for Biomedical Ontology will host a two-day workshop focused on the ontology of (biomedical) images and imaging. The workshop will take place on March 24-25, 2006 in Room M-112 of the Lane Medical Library in Stanford.
The goal of the workshop is to promote interoperability of biomedical image and imaging ontologies through the application of principles of sound ontology construction and through the coordination of current ontology development efforts in the imaging domain. One subsidiary goal is to ensure compatibility of image ontologies with ontologies of those biomedical entities which images represent. The workshop will include hands-on experiments directed towards building a biomedical image ontology on the basis of sample ontologies submitted by participants in advance.
The following topics will be addressed:
- coordination and integration of ontologies in the imaging domain
- ontologies for classification of images, image features, interpretations,
- the role of a reference ontology such as the FMA
- the use of common relations (along the lines advanced in the OBO Relation Ontology), including relations among images, features, interpretations, and the underlying reality
- use of ontologies in reasoning
- building an ontology of imaging tools and data, including issues related to the classification of imaging algorithms and to the potential uses of a tools ontology in supporting interoperability of bioinformatics software (in conjunction with the Software and Data Integration Working Group of the NIH Roadmap National Centers for Biomedical Computing).
The workshop is designed to be of value to all those involved in biocomputing in the imaging domain, including representatives of those NCBCs who use or develop imaging technologies.
This workshop was funded by the United States National Institutes of Health (NIH) through the NIH Roadmap for Medical Research, Grant 1 U 54 HG004028. Information on the National Centers for Biomedical Computing can be found at [1]. Additional support has been provided by Agfa, GlaxoSmithKline (GSK) and Language & Computing (L&C).
Participants
Yasser alSafadi (Philips Research)
Carol Bean (NCRR)
Bruce Bray (Utah)
William Bug (BIRN)
James A Butler (GlaxoSmithKline)
John Carrino (Partners)
Werner Ceusters (Buffalo)
Helen Chen (Agfa)
David Clunie (RadPharm, Princeton)
Beverly Collins (Radlex)
C. Forbes Dewey (MIT)
Ivo Dinov (UCLA)
Keith Dreyer (Harvard)
Matthew Fielding (IFOMIS)
Daniel Gardner (Cornell)
Christine Golbreich (Rennes)
Louis Goldberg (Buffalo)
Jeff Grethe (BIRN)
Donald Harrington (NIBIB)
Frank Hartel (NCI)
Dave Hellman (L&C)
Peter Hunter (Aukland)
David Kennedy (Harvard)
Richard I. Kitney (Imperial College, London)
Anand Kumar (IFOMIS)
Curtis Langlotz (University of Pennsylvania)
Suzanna Lewis (Berkeley)
William Lorensen (General Electric)
Peter F. Lyster (NIH/NIGMS)
Maryann Martone (BIRN)
Dirk Marwede (IFOMIS / Department of Radiology, University of Leipzig)
Robin A. McEntire (GlaxoSmithKline)
John Michon (Duke)
Chris Mungall (Berkeley)
Robert Murphy (CMU)
Mark Musen (Stanford)
Dianne Reeves (NCI)
Daniel Rubin (Stanford)
Mariana Casella Dos Santos (L&C, Belgium)
Nigam Shah (Stanford)
Barry Smith (Buffalo)
Kaushtubh Supekar (Stanford)
Some Relevant Links
The Open Microscopy Environment (OME) Data Model
OBO Biological Imaging Methods
RadLex: A Lexicon for Uniform Indexing and Retrieval of Radiology Information Resources
Neuroimaging Informatics Technology Initiative
David Clunie's Medical Image Format Site
Registry of Image Analysis Tools