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{{Projects/NAMICWeb}}
= Welcome =
 
  
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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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| rowspan="2"| [[Image:NIH_Logo.png|[[Image:NIH_Logo.png|Image:NIH_Logo.png]]]][[Image:Dhhs_logo.png|[[Image:Dhhs_logo.png|Image:Dhhs_logo.png]]]]
 
  
These wiki pages are meant to encourage quick and efficient communication among the participating investigators and the interested users of NA-MIC, the National Alliance for Medical Imaging Computing.  
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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.
  
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.
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'''<center>Supported by the National Institutes of Health, Roadmap Initiative for Bioinformatics and Computational Biology.'''
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'''For more information, see http://www.bisti.nih.gov/ncbc'''
  
NA-MIC was a national research center supported by grant U54 EB005149 from the NIBIB NIH HHS. NA-MIC itself is no longer a funded research effort, but many research projects driven by NA-MIC technologies continue.
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Day-to-day organization of NA-MIC is done using http://wiki.na-mic.org.
  
To get an idea of the ongoing activities in this project, follow the links in the Navigation box on the left side of this page: Cores and Projects contains information about the activities in the individual NA-MIC cores as well as cross-NCBC activities, the Events pages contains information about upcoming and past NA-MIC events including teleconferences, and the Resources pages contain information about NA-MIC software.
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Information about collaborating with NA-MIC is available at this information page on our wiki.</center>
| style="background: #ebeced" colspan="2" align="center"| [[Image:Slicer4Announcement-HiRes.png|400px]]
 
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| style="background: #ebeced"|
 
| style="background: #ebeced"|Slicer 4.5 released in November 2015. See the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.5/Announcements Announcement] for more information.
 
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== Resources at a glance ==
 
* '''[[Events|Events]]''': A list of all our past and upcoming events.
 
* '''[[NA-MIC_Collaborations|NA-MIC Collaborations]]''':  A list of our internal and external collaborative projects.
 
* '''[[NA-MIC-Kit|NA-MIC Kit]]''': The NA-MIC Kit consists of software and software engineering methods that are used and developed by NA-MIC, including [http://www.slicer.org 3D Slicer].
 
* '''[[Project_Events|NA-MIC Programming/Project Events]]''':  NA-MIC Project Week is a hands on activity -- programming using the NA-MIC Kit, algorithm design, and clinical applications. The link above leads to results from project weeks held since 2005.
 
* '''[[Call_for_Medical_Image_Computing_Grant_Applications|Call for Medical Image Computing Grant Applications]]''': This is a call to help us improve the review process for Medical Image Computing grant applications by NIH.
 
* '''[[NIH-Page|NIH Page]]''': This page contains useful information provided by our NIH officers.
 
* '''[[Historic-Links|Other Links]]'''
 

Revision as of 04:07, 9 February 2016


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.

Supported by the National Institutes of Health, Roadmap Initiative for Bioinformatics and Computational Biology.

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.

Information about collaborating with NA-MIC is available at this information page on our wiki.