Difference between revisions of "NA"

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'''Objective:'''
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'''Objective:''' We are developing new denoising methods for diffusion tensor MRI. These methods are based on physical noise models in DT-MRI.
  
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To simplify cross-platform development of software, and to integrate NAMIC software into the quality process.
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'''Progress:''' We have implemented several filtering methods for DT-MRI, including our new method and also several methods from the literature. One goal is to determine whether it is best to filter the estimated tensor fields or the original diffusion weighted images. The method that we developed filters the original diffusion weighted images and takes into account the physical properties of the imaging noise. We are comparing this method with others in the literature, including methods that filter the estimated tensor fields. Our preliminary findings are that it is advantageous to filter the DWIs and to include a physical model of the noise.
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'''Progress:'''
 
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CMake is a cross platform build tool that converts simple scripts called CMake list files into a set of files used by the native development environment to build (i.e., compile and link) the project. It does this across all combinations of hardware, operating system and compilers (each combination is called a ''platform'') that are used in the NAMIC environment. CMake is the tool that makes it posssible for the NA-MIC Kit to run across multiple computer operating systems. CMake supports several advanced features including system inspection, shared library versioning, and parallel building of files. CMake helps integrate software development into the NAMIC quality process via the related CTest tool.
 
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In Year 2, support for several new platforms was added including Microsoft Visual Studio 8, 64-bit support for Windows, and MinGW. Sophisiticated support for programmable build targets was also added, as well as integration with CPack and CTest. Probably the biggest accomplishment related to CMake was the selection of CMake as the build tool for KDE, the Linux desktop windows environment. (KDE is claimed to be the world's largest open source software project.) This is a clear validation that the software process used by NA-MIC is world-class.
 
  
 
'''Key Investigators:'''
 
'''Key Investigators:'''
  
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* Kitware: Andy Cedilnik, Bill Hoffman, Brad King, Ken Martin
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* Utah: Saurav Basu, Tom Fletcher, Ross Whitaker
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* Harvard PNL: Sylvain Bouix, Doug Marchant, Adam Cohen, Marc Niethammer, Marek Kubicki, Mark Dreusicke, Martha Shenton
  
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'''Links:'''
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'''Links'''
  
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* http://www.cmake.org
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* [[AHM_2006:ProjectsRiemmanianDTIFilters|Programming Event Project Page (January 2006)]]
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* http://www.cmake.org/Wiki/CMake
 

Revision as of 13:28, 18 December 2006

Home < NA

Objective: We are developing new denoising methods for diffusion tensor MRI. These methods are based on physical noise models in DT-MRI.

Progress: We have implemented several filtering methods for DT-MRI, including our new method and also several methods from the literature. One goal is to determine whether it is best to filter the estimated tensor fields or the original diffusion weighted images. The method that we developed filters the original diffusion weighted images and takes into account the physical properties of the imaging noise. We are comparing this method with others in the literature, including methods that filter the estimated tensor fields. Our preliminary findings are that it is advantageous to filter the DWIs and to include a physical model of the noise.

Key Investigators:

  • Utah: Saurav Basu, Tom Fletcher, Ross Whitaker
  • Harvard PNL: Sylvain Bouix, Doug Marchant, Adam Cohen, Marc Niethammer, Marek Kubicki, Mark Dreusicke, Martha Shenton

Links

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