Automated Volumes-of-Interest Identification for Classical and Atypical Parkinsonian Syndrome Differentiation Using T2â MR Imaging
نویسندگان
چکیده
N. D. Forkert1; A. Schmidt-Richberg2; A. Treszl3; C. Hilgetag1; J. Fiehler4; A. Münchau5; H. Handels2; K. Boelmans6 1Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Germany; 2Institute of Medical Informatics, University of Lübeck, Germany; 3Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Germany; 4Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany; 5Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany, 6Department of Psychiatry, University Medical Center Hamburg-Eppendorf, Germany
منابع مشابه
Automated volumes-of-interest identification for classical and atypical Parkinsonian syndrome differentiation using T2' MR imaging.
OBJECTIVES In clinical routine, patients with classical Parkinsonian syndromes (CPS) need to be differentiated from those with atypical Parkinsonian syndromes (APS), particularly with respect to prognosis and treatment decision. To date, this diagnosis is mainly based on clinical criteria, leading to failure rates up to 25%, motivating the development of image-based decision support systems. Ma...
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