Uncertainty Driven Probabilistic Voxel Selection for Image Registration
نویسندگان
چکیده
منابع مشابه
Uncertainty in Probabilistic Image Registration
In Probabilistic Deformable Registration (PDR) each voxel of an image is assigned a distribution over the potential displacement vectors. Thus the PDR has the potential to convey information on our confidence in the resulting spatial transformation. To form an uncertainty map describing the registration result, one straight forward approach is to calculate Shannon’s entropy of the obtained prob...
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Point-based registration is the problem of computing the transformation that best aligns two point sets, such as might be obtained using range scanners or produced by feature extraction algorithms. The Iterative Closest Points (ICP) algorithm and its variants are the most commonly used techniques for point-based registration. The ICP algorithm may be derived as the solution to a global optimiza...
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One framework for probabilistic image registration involves assigning probability distributions over spatial transformations (e.g. distributions over displacement vectors at each voxel). In this paper, we propose an uncertainty measure for these distributions that examines the actual spatial displacements, thus departing from the classical Shannon entropy-based measures, which examine only the ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Medical Imaging
سال: 2013
ISSN: 0278-0062,1558-254X
DOI: 10.1109/tmi.2013.2264467