A Methodology to Validate MRI/SPECT Registration Methods Using Realistic Simulated SPECT Data

Authors:
Christophe Grova;Arnaud Biraben;Jean-Marie Scarabin;Pierre Jannin;Irène Buvat;Habib Benali;Bernard Gibaud
Affiliations:
-;-;-;-;-;-;-
Venue:
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Year:
2001

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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.