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Anisotropic Flux Diffusion for Noise Removal in ITK

Implement an anisotropic diffusion method for noise removal in ITK software, vital for clinical preprocessing before segmentation. Achieved by integrating flux diffusion module into ITK. Team led by Karl Krissian and James Miller from GE, facing challenges in 3D noise removal algorithms.

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Anisotropic Flux Diffusion for Noise Removal in ITK

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  1. Flux Diffusion in ITKImplement in ITK a specific version of anisotropic diffusion for noise removal. Team Plan/Expected Challenges Algorithms: noise removal in 3D. Karl Krissian (collaborator) James Miller (GE) Software: Implement the flux diffusion (currently as a module in the 3D slicer) in ITK. Clinical: noise removal as preprocessing to segmentation. Accomplished by end of Programming Week Implemented the itkFluxDiffusion filter, consisting of the Following new classes: itkFluxAnisotropicDiffusionFunction.h itkFluxAnisotropicDiffusionFunction.txx itkFluxAnisotropicDiffusionImageFilter.h itkFluxAnisotropicDiffusionImageFilter.txx

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