Combining Morphometric Evidence from Multiple Registration Methods using Dempster-Shafer Theory
In tensor-based morphometry (TBM) group-wise differences in brain structure are measured using high degree-of-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.
V. Rajagopalan and C.L. Wyatt, Combining Morphometric Evidence from Multiple Registration Methods using Dempster-Shafer Theory Proc. SPIE 7623, 76231U (2010), DOI:10.1117/12.844002. [Bibtex Citation]
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