Abstract
We propose a validation methodology to study the behaviour of SPECT/MRI similarity-based registration methods in normal and pathological conditions. Validation data sets were computed by simulating realistic SPECT data from 3D Tl-weighted MRI data, through Monte Carlo simulations, using a perfusion model built from measurements made on real SPECT data (normal or pathological). Validation of four similarity-based registration methods performed on these simulated data showed a registration mean accuracy significantly lower than simulated SPECT spatial resolution.
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Grova, C. et al. (2002). Validation of MRI/SPECT similarity-based registration methods using realistic simulations of normal and pathological SPECT data. In: Lemke, H.U., Inamura, K., Doi, K., Vannier, M.W., Farman, A.G., Reiber, J.H.C. (eds) CARS 2002 Computer Assisted Radiology and Surgery. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56168-9_75
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DOI: https://doi.org/10.1007/978-3-642-56168-9_75
Publisher Name: Springer, Berlin, Heidelberg
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