01615nas a2200133   4500008004100000020001400041245009600055210006900151260001200220300001400232490000700246520118700253856004101440       2000                        eng d  a1053-180700aNumerical tissue characterization in MS via standardization of the MR image intensity scale0 aNumerical tissue characterization in MS via standardization of t  c2000///  a715 - 7210 v123 aImage intensity standardization is a recently developedpostprocessing method that is capable of correcting the signal 
intensity variations in MR images. We evaluated signal intensity 
of healthy and diseased tissues in 10 multiple sclerosis (MS) 
patients based on standardized dual fast spin-echo MR images 
using a numerical postprocessing technique. The main idea of 
this technique is to deform the volume image histogram of each 
study to match a standard histogram and to utilize the resulting 
transformation to map the image intensities into standard scale. 
Upon standardization, the coefficients of variation of signal 
intensities for each segmented tissue (gray matter, white 
matter, lesion plaques, and diffuse abnormal white matter) in 
all patients were significantly smaller (2.3-9.2 times) than in 
the original images, and the same tissues from different 
patients looked alike, with similar intensity characteristics. 
Numerical tissue characterizability of different tissues in MS 
achieved by standardization offers a fixed tissue-specific 
meaning for the numerical values and can significantly 
facilitate image segmentation and analysis.
  uhttps://www.inf.szte.hu/en/node/1003