Abstract
We present a method to validate MRI/SPECT registration methods based on a set of computer-generated SPECT data. The data set was produced through Monte Carlo simulations from an attenuation map and an activity map derived from a manually labeled T1-weighted MRI data set.
Our approach intrinsically provides a gold standard to assess MRI/SPECT registration methods. It was successfully applied to the comparison of four registration methods based on similarity measurements: Mutual Information, Normalised Mutual Information, Correlation Ratio and Woods Criterion.
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Grova, C. et al. (2001). A Methodology to Validate MRI/SPECT Registration Methods Using Realistic Simulated SPECT Data. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3_33
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DOI: https://doi.org/10.1007/3-540-45468-3_33
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