Institutional Repository
Technical University of Crete
EN  |  EL

Search

Browse

My Space

In vivo dynamic imaging, in silico modeling and global sensitivity analysis for the study and the diagnosis of epithelial neoplasia

Stavrakakis Georgios, Papoutsoglou Georgios, Anastasopoulou Angeliki, C. Balas , P. Souter

Simple record


URIhttp://purl.tuc.gr/dl/dias/B5BBA6BB-E40B-4234-A5A7-94AB4FB5536C-
Identifierhttps://doi.org/10.1109/IEMBS.2011.6089905. -
Languageen-
Extent5 pagesen
TitleIn vivo dynamic imaging, in silico modeling and global sensitivity analysis for the study and the diagnosis of epithelial neoplasiaen
CreatorStavrakakis Georgiosen
CreatorΣταυρακακης Γεωργιοςel
CreatorPapoutsoglou Georgiosen
CreatorΠαπουτσογλου Γεωργιοςel
CreatorAnastasopoulou Angelikien
CreatorΑναστασοπουλου Αγγελικηel
CreatorC. Balas en
CreatorP. Souteren
Content SummaryWe present a method for detecting and studying neoplasia-specific functional and structural features through the combination of in vivo dynamic imaging, in silico modeling and global sensitivity analysis. We particularly present the case of cervical epithelium interacting with acetic acid solution, which is employed as an optical biomarker. The in vivo measured dynamic scattering characteristics are strongly correlated with the output of the biomarker's pharmacokinetic model that we have developed. Model global sensitivity analysis has shown that the measured/modeled bio-optical processes can be used for probing, in vivo, the number of neoplastic layers, the extracellular pH, the intracellular buffering efficiency and the size of the extracellular space.en
Type of ItemΑφίσα σε Συνέδριοel
Type of ItemConference Posteren
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-15-
Date of Publication2011-
SubjectMedicineen
Bibliographic CitationG. Papoutsoglou ,A. Anastasopoulou, G. Stavrakakis ,P. Soutter ,C.Balas ,"In vivo dynamic imaging, in silico modeling and global sensitivity analysis for the study and the diagnosis of epithelial neoplasia,"in 2011 33rd Annual Inter. Conf. of the IEEE EMBS,pp.95-99.doi: 10.1109/IEMBS.2011.6089905.en

Services

Statistics