Combining morphometric evidence from multiple registration methods using dempster-shafer theory

Vidya Rajagopalan; Christopher Wyatt

doi:10.1117/12.844002

12 March 2010 Combining morphometric evidence from multiple registration methods using dempster-shafer theory

Vidya Rajagopalan, Christopher Wyatt

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 76231U (2010) https://doi.org/10.1117/12.844002
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

In tensor-based morphometry (TBM) group-wise differences in brain structure are measured using high degreeof- freedom registration and some form of statistical test. However, it is known that TBM results are sensitive to both the registration method and statistical test used. Given the lack of an objective model of group variation is it difficult to determine a best registration method for TBM. The use of statistical tests is also problematic given the corrections required for multiple testing and the notorius difficulty selecting and intepreting signigance values. This paper presents an approach to address both of these issues by combining multiple registration methods using Dempster-Shafer Evidence theory to produce belief maps of categorical changes between groups. This approach is applied to the comparison brain morphometry in aging, a typical application of TBM, using the determinant of the Jacobian as a measure of volume change. We show that the Dempster-Shafer combination produces a unique and easy to interpret belief map of regional changes between and within groups without the complications associated with hypothesis testing.

Citation Download Citation

Vidya Rajagopalan and Christopher Wyatt "Combining morphometric evidence from multiple registration methods using dempster-shafer theory", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76231U (12 March 2010); https://doi.org/10.1117/12.844002

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