<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Jayaram K Udupa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">On standardizing the MR image intensity scale</style></title><secondary-title><style face="normal" font="default" size="100%">MAGNETIC RESONANCE IN MEDICINE</style></secondary-title><short-title><style face="normal" font="default" size="100%">MAGN RESON MED</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1999///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">42</style></volume><pages><style face="normal" font="default" size="100%">1072 - 1081</style></pages><isbn><style face="normal" font="default" size="100%">0740-3194</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The lack of a standard image intensity scale in MRI causes manydifficulties in image display and analysis. A two-step 
postprocessing method is proposed for standardizing the 
intensity scale in such a way that for the same MR protocol and 
body region, similar intensities will have similar tissue 
meaning. In the first step, the parameters of the standardizing 
transformation are &quot;learned&quot; from a set of images. In the second 
step, for each MR study these parameters are used to map their 
histogram into the standardized histogram. The method was tested 
quantitatively on 90 whole-brain studies of multiple sclerosis 
patients for several protocols and qualitatively for several 
other protocols and body regions. Measurements using mean 
squared difference showed that the standardized image 
intensities have statistically significantly (P &lt; 0.01) more 
consistent range and meaning than the originals. Fixed gray 
level windows can be established for the standardized images and 
used for display without the need of per case adjustment. 
Preliminary results also indicate that the method facilitates 
improving the degree of automation of image segmentation. Magn 
Reson Med 42:1072-1081, 1999.
</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><notes><style face="normal" font="default" size="100%">UT: 000083959300011doi: 10.1002/(SICI)1522-2594(199912)42:6&amp;lt;1072::AID-MRM11&amp;gt;3.0.CO;2-M</style></notes></record></records></xml>