<?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%">MR image analysis in multiple sclerosis</style></title><secondary-title><style face="normal" font="default" size="100%">NEUROIMAGING CLINICS OF NORTH AMERICA</style></secondary-title><short-title><style face="normal" font="default" size="100%">NEUROIMAG CLIN N AM</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%">10</style></volume><pages><style face="normal" font="default" size="100%">799 - 815</style></pages><isbn><style face="normal" font="default" size="100%">1052-5149</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">MR imaging is the ubiquitous imaging modality used for studyingmultiple sclerosis (MS). A variety of MR imaging protocols, 
including T2, spin density, T1-weighted, with and without 
gadolinium, and magnetization transfer imaging, have been used 
in studying MS. This article provides an overview of the 
techniques recently developed for quantifying the extent of MS 
through the application of MR imaging.
</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue><notes><style face="normal" font="default" size="100%">UT: 000168611300013ScopusID: 0034447740</style></notes></record></records></xml>