Adapting the ITK Registration Framework to Fit Parametric Image Models.
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The image registration framework in the Insight Tookit offers a powerful body of code for finding the optimal spatial transform that registers one image with another. However, ITK currently lacks a way to fit parametric models of image pixel values to an input image. Such a capability is necessary in certain applications such as sub-resolution localization of molecules in fluorescence microscopy. This document describes new classes that enable the use of the registration framework to provide this capability. We describe a new base class, itk::ParametricImageSource, that defines an interface for parametric image sources. An adapter class itk::ImageToParametricImageSourceMetric that enables itk::ParametricImageSources to be hooked into the registration framework is also described. An example adapter class that enables the existing itk::GaussianImageSource to be used for image fitting is presented, and we demonstrate use of the classes by fitting a 2D Gaussian function to an image generated by the itk::GaussianImageSource class.
[1] Paul R. Selvin,et al. Myosin V Walks Hand-Over-Hand: Single Fluorophore Imaging with 1.5-nm Localization , 2003, Science.
[2] W. Webb,et al. Precise nanometer localization analysis for individual fluorescent probes. , 2002, Biophysical journal.
[3] J. Lippincott-Schwartz,et al. Imaging Intracellular Fluorescent Proteins at Nanometer Resolution , 2006, Science.