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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.
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[[Image:NIHlogo.png|100px]][[Image:NIHHHS-logo.png|60px]]
  
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.
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These wiki pages are used to curate meetings and events of interest to developers and users of open source software for medical image computing.  
  
'''<center>Supported by the National Institutes of Health, Roadmap Initiative for Bioinformatics and Computational Biology.'''
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NA-MIC was founded as a multi-institutional, interdisciplinary team of computer scientists, software engineers, and medical investigators to develop computational tools for the analysis and visualization of medical image data. It was funded from 2004-2015 using a grant, U54 EB005149, from the NIBIB NIH HHS.   NA-MIC created infrastructure and environment for the development of computational algorithms and open-source technologies, and created training and dissemination mechanisms for these tools to be distributed to the medical research community.
'''For more information, see http://www.bisti.nih.gov/ncbc'''
 
  
Day-to-day organization of NA-MIC is done using http://wiki.na-mic.org.
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'''While NA-MIC itself is no longer a funded research effort, many research projects driven by NA-MIC technologies continue.''' 
  
Information about collaborating with NA-MIC is available at this information page on our wiki.</center>
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|[[Image:Slicer4Announcement-HiRes.png|400px|align:"top"]]
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Please visit the [[Events]] page to learn about meetings that to take place to continue biomedical research seeded by NA-MIC.
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|Slicer 4.10 released in November 2018. See the [https://www.slicer.org/wiki/Documentation/4.10/Announcements Announcement] for more information.
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Revision as of 19:43, 22 November 2019


NIHlogo.pngNIHHHS-logo.png

These wiki pages are used to curate meetings and events of interest to developers and users of open source software for medical image computing.

NA-MIC was founded as a multi-institutional, interdisciplinary team of computer scientists, software engineers, and medical investigators to develop computational tools for the analysis and visualization of medical image data. It was funded from 2004-2015 using a grant, U54 EB005149, from the NIBIB NIH HHS. NA-MIC created infrastructure and environment for the development of computational algorithms and open-source technologies, and created training and dissemination mechanisms for these tools to be distributed to the medical research community.

While NA-MIC itself is no longer a funded research effort, many research projects driven by NA-MIC technologies continue.

align:"top"

Please visit the Events page to learn about meetings that to take place to continue biomedical research seeded by NA-MIC.

Slicer 4.10 released in November 2018. See the Announcement for more information.