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A Strategy to Quantitatively Evaluate MRI/PET Cardiac Rigid Registration Methods Using a Monte Carlo Simulator

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2674))

Abstract

The goal of this work is to present a strategy to validate cardiac MRI/PET registration methods. The strategy relies on a MRI/PET image reference data set including a computer generated PET data set of the thorax and its structures. This data set was produced using a Monte Carlo simulator from segmented T1-weighted MRI thorax data. From the reference data set as a gold standard, test transformations are randomly generated and used to quantify registration accuracy. The validation approach has been applied to our own rigid registration method with three different similarity measures: Correlation Ratio, Correlation Coefficient and Mutual Information. In this study, we observed that the Correlation Ratio gave better results both for thorax and heart image registration.

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© 2003 Springer-Verlag Berlin Heidelberg

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Pauna, N. et al. (2003). A Strategy to Quantitatively Evaluate MRI/PET Cardiac Rigid Registration Methods Using a Monte Carlo Simulator. In: Magnin, I.E., Montagnat, J., Clarysse, P., Nenonen, J., Katila, T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2003. Lecture Notes in Computer Science, vol 2674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44883-7_20

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  • DOI: https://doi.org/10.1007/3-540-44883-7_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40262-6

  • Online ISBN: 978-3-540-44883-9

  • eBook Packages: Springer Book Archive

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