NA-MIC External Collaborations
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Contents
- 1 Projects funded by "Collaborations with NCBC PAR"
- 2 Additional External Collaborations
- 2.1 PAR-05-057: BRAINS Morphology and Image Analysis
- 2.2 Vascular Modeling Toolkit Collaboration
- 2.3 Children's Pediatric Cardiology Collaboration with SCI/SPL/Northeastern
- 2.4 NA-MIC Collaboration with NITRC
- 2.5 NA-MIC Collaboration with NAC
- 2.6 NA-MIC Collaboration with NCIGT
- 2.7 NA-MIC Collaboration with Research and Development Project on Intelligent Surgical Instruments
- 2.8 NA-MIC Collaboration with Research and Development Project on Intelligent Surgical Instruments
Projects funded by "Collaborations with NCBC PAR"
This section describes external collaborations with NA-MIC that are funded by NIH under the "Collaboration with NCBC" PAR. (Details for this funding mechanism are provided here).
PAR-05-063: R01EB005973 Automated FE Mesh DevelopmentThis project is funded under an NCBC collaboration grant to PIs Nicole Grosland and Vincent Magnotta at UIowa. The goal of this project is to integrate and expand methods to automate the development of specimen- / patient-specific finite element (FE) models into the NA-MIC kit. More... | |
PAR-07-249: R01AA016748 Measuring Alcohol and Stress Interaction with Structural and Perfusion MRIThis project is funded under an NCBC collaboration grant to PIs James Daunais, Robert Kraft, and Chris Wyatt. The goal of this project is to examine the the effects of chronic alcohol self- administration on brain structure and function the monkey brain. MRI image analysis tools from the NA-MIC kit will be adapted for use with the monkey brain datasets. More... | |
PAR-05-063: R01CA124377 An Integrated System for Image-Guided Radiofrequency Ablation of Liver TumorsThis project is funded under an NCBC collaboration grant to PI Kevin Cleary at Georgetown University. The goal of this project is to develop and validate an integrated system based on open source software for improved visualization and probe placement during radiofrequency ablation (RFA) of liver tumors.More... |
Additional External Collaborations
This section describes external collaborations with NA-MIC that are funded by other mechanisms:
PAR-05-057: BRAINS Morphology and Image AnalysisThis project is a funded under a Continued Development and Maintenance of Software grant to PIs Vincent Magnotta, Hans Johnson, Jeremy Bockholt, and Nancy Andreasen at the University of Iowa. The goal of this project is to update the BRAINS image analysis software developed at the University of Iowa. More... | |
Vascular Modeling Toolkit CollaborationSlicer as a platform for segmentation and geometric analysis of vascular segments and image-based computational fluid dynamics (CFD). More... Collaboration with Luca Antiga of the Mario Negri Institute. | |
Children's Pediatric Cardiology Collaboration with SCI/SPL/NortheasternCollaboration with John Triedman, Matt Jolley, Dana Brooks, SCI. | |
NA-MIC Collaboration with NITRCThe NA-MIC Project is working to make NA-MIC neuroimaging software available through the NITRC web site. Supplemental support is helping to create the Slicer3 Loadable Modules project so that slicer plugins can be hosted on NITRC, allowing greater scalability for developers and users of Slicer. | |
NA-MIC Collaboration with NACNAC, the neuroimage analysis center, is a national resource center. NAC is relying on the NA-MIC kit for its general software environment. The mission of NAC is to develop novel concepts for the analysis of images of the brain and develop and disseminate tools based on those concepts. | |
NA-MIC Collaboration with NCIGTHere are a couple of sentences to summarize the nature of the NA-MIC Collaboration with NCIGT.
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NA-MIC Collaboration with Research and Development Project on Intelligent Surgical InstrumentsIntelligent Surgical Instruments Projects uses Open-source software engineering tools developed by NA-MIC, and leverage it to surgical robotics.
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NA-MIC Collaboration with Research and Development Project on Intelligent Surgical InstrumentsReal Time Computer Simulation of Human Soft Organ Deformation for Computer Assisted Surgery. |