Equivalence of histogram equalization, histogram matching and the Nyul algorithm for intensity standardization in MRI

  • Knight J
  • Taylor G
  • Khademi A
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Abstract

Intensity standardization is an important preprocessing step in automatedanalysis of MRI. A popular method by Nyul et al. uses apiece-wise linear approximation of histogram matching. We showthat this method is a non-uniform trapezoidal Riemann approximationof the ideal histogram matching operation, and suggest thathistogram matching is no better than histogram equalization for intensitystandardization in MRI. Experimental results are derived usingsynthetic data.

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Knight, J., Taylor, G. W., & Khademi, A. (2017). Equivalence of histogram equalization, histogram matching and the Nyul algorithm for intensity standardization in MRI. Journal of Computational Vision and Imaging Systems, 3(1). https://doi.org/10.15353/vsnl.v3i1.170

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