  CT scan images of human brain of a particular patient in different cross
sections are taken, on which wavelet transform and multi-fractal analysis are
applied. The vertical and horizontal unfolding of images are done before
analyzing these images. A systematic investigation of de-noised CT scan images
of human brain in different cross-sections are carried out through wavelet
normalized energy and wavelet semi-log plots, which clearly points out the
mismatch between results of vertical and horizontal unfolding. The mismatch of
results confirms the heterogeneity in spatial domain. Using the multi-fractal
de-trended fluctuation analysis (MFDFA), the mismatch between the values of
Hurst exponent and width of singularity spectrum by vertical and horizontal
unfolding confirms the same.
