Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Digital Image Processing
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
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In this work, we present a method for evaluation of multimodal 3-D image registration techniques using Monte-Carlo 3-D PET brain simulated images as well as images of external markers in discrete image space characterized by the voxel size. This approach will offer an accurate and inexpensive way to evaluate the precision of any registration approach, in particular the methods that rely on extrinsic fiducial markers. The results show that the precision of the registration method is within a pixel of the modality with the poorest resolution.