Inter-Operator Variability in Perfusion Assessment of Tumors in MRI Using Automated AIF Detection

Autor:	Teresa M. McShane, Edward Ashton, Jeffrey Evelhoch
Rok vydání:	2005
Předmět:	Pathology medicine.medical_specialty business.industry Computer science Coefficient of variation Dynamic contrast-enhanced MRI medicine Arterial input function Nuclear medicine business Observer variation Perfusion Tumor tissue
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540293279 MICCAI
DOI:	10.1007/11566465_56
Popis:	A method is presented for the calculation of perfusion parameters in dynamic contrast enhanced MRI. This method requires identification of enhancement curves for both tumor tissue and plasma. Inter-operator variability in the derived rate constant between plasma and extra-cellular extra-vascular space is assessed in both canine and human subjects using semi-automated tumor margin identification with both manual and automated arterial input function (AIF) identification. Experimental results show a median coefficient of variability (CV) for parameter measurement with manual AIF identification of 21.5% in canines and 11% in humans, with a median CV for parameter measurement with automated AIF identification of 6.7% in canines and 6% in humans.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a8fe53b403fba7d6b8c93a1b4758133a https://doi.org/10.1007/11566465_56 Zobrazit plný text záznamu