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Clinical decision support systems for brain tumor characterization using advanced magnetic resonance imaging techniques

查看全文 作　　者：Evangelia [1]Tsolaki;Evanthia [1]Kousi;Patricia [1]Svolos;Efthychia [2]Kapsalaki;Kyriaki [1]Theodorou;Constastine [1]Kappas;Ioannis [1]Tsougos 高影响力作者 机构地区：[1]Medical Physics Department,University of Thessaly,Biopolis;[2]Department of Radiology, University Hos-pital of Larissa,Biopolis高影响力机构 出　　处：《World Journal of Radiology》索引2014年第6卷第4期,共10页高影响力期刊 摘　　要：In recent years, advanced magnetic resonance imaging(MRI) techniques, such as magnetic resonance spec-troscopy, diffusion weighted imaging, diffusion tensor imaging and perfusion weighted imaging have been used in order to resolve demanding diagnostic prob-lems such as brain tumor characterization and grading, as these techniques offer a more detailed and non-invasive evaluation of the area under study. In the last decade a great effort has been made to import and utilize intelligent systems in the so-called clinical deci-sion support systems(CDSS) for automatic processing, classification, evaluation and representation of MRI data in order for advanced MRI techniques to become a part of the clinical routine, since the amount of data from the aforementioned techniques has gradually inticle is two-fold. The first is to review and evaluate the progress that has been made towards the utilization of CDSS based on data from advanced MRI techniques. The second is to analyze and propose the future work that has to be done, based on the existing problems and challenges, especially taking into account the new imaging techniques and parameters that can be intro-duced into intelligent systems to significantly improve their diagnostic specificity and clinical application. 关 键 词：Decision support systems MAGNETIC reso-nance IMAGING MAGNETIC resonance spectroscopy DIFFUSION WEIGHTED IMAGING DIFFUSION tensor IMAGING PERFUSION WEIGHTED IMAGING Pattern recognition
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