<?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></contributors><titles><title><style face="normal" font="default" size="100%">New variants of a method of MRI scale standardization</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE TRANSACTIONS ON MEDICAL IMAGING</style></secondary-title><short-title><style face="normal" font="default" size="100%">IEEE T MED IMAGING</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2000///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">19</style></volume><pages><style face="normal" font="default" size="100%">143 - 150</style></pages><isbn><style face="normal" font="default" size="100%">0278-0062</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">One of the major drawbacks of magnetic resonance imaging (MRI)has been the lack of a standard and quantifiable interpretation 
of image intensities. Unlike in other modalities, such as X-ray 
computerized tomography, MR images taken for the same patient on 
the same scanner at different times may appear different from 
each other due to a variety of scanner-dependent variations and, 
therefore, the absolute intensity values do not have a fixed 
meaning. We have devised a two-step method wherein all images 
(independent of patients and the specific brand of the MR 
scanner used) can be transformed in such a way that for the same 
protocol and body region, in the transformed images similar 
intensities will have similar tissue meaning. Standardized 
images can be displayed with fixed windows without the need of 
per-case adjustment. More importantly, extraction of 
quantitative information about healthy organs or about 
abnormalities can be considerably simplified. This paper 
introduces and compares new variants of this standardizing 
method that can help to overcome some of the problems with the 
original method.
</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><notes><style face="normal" font="default" size="100%">UT: 000086614000007ScopusID: 0033624997doi: 10.1109/42.836373</style></notes></record></records></xml>