Global motion invariant signatures for fast and accurate motion tracking in a digital image-based elasto-tomography system
a technology of global motion and invariant signatures, applied in mammography, medical science, diagnostics, etc., can solve the problems of requiring radiation exposure, significant patient discomfort, and significant health problems of breast cancer, and achieve accurate and efficient tracking of large numbers of markers, significant freedom in the amount of pixel movement, and improved accuracy
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[0031]There are many different methods in the literature for registering images [Jan Modersitzki (2004), “Numerical Methods for Image Registration”, Oxford University Press, New York]. These methods are usually either feature or intensity based. Intensity based methods avoid the feature extraction stage but work on whole intensity images so are computationally demanding. In the context of the DIET system as shown in FIGS. 1A and 1B, to capture the full motion of the breast surface with very fine detail requires a large array of high resolution cameras and potentially 1000's of frames for each camera to be analyzed to capture small subtle variations in the breast surface due to a small tumour. Thus methods that work with whole intensity images, for example Normalized Cross-Correlation (NCC) based [J. P. Lewis (1995), “Fast Normalized Cross-Correlation”, Vision Interface, 120-1231 are not feasible for the DIET system.
[0032]Feature based methods are potentially suitable since they mini...
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