Εξειδίκευση τύπου :	Άρθρο σε επιστημονικό περιοδικό
Τίτλος:	Computer-supported angiogenesis quantification using image analysis and statistical averaging
Δημιουργός/Συγγραφέας:	Doukas, Charalampos N. Maglogiannis, Ilias [EL] Χατζηιωάννου, Αριστοτέλης[EN] Chatziioannou, Aristotelis
Εκδότης:	IEEE-inst Electrical Electronics Engineers Incorporated
Τόπος έκδοσης:	Piscataway
Ημερομηνία:	2008-09
Γλώσσα:	Αγγλικά
ISSN:	1089-7771
DOI:	10.1109/TITB.2008.926463
Περίληψη:	Angiogenesis is a complex process, involving multiple crosstalks among tumor, endothelial, and stromal cells in order to establish a biochemical network for oxygen and nutrients supply, necessary for the promotion of tumor growth. In this sense, measuring angiogenic activity is considered an informative marker of tumor growth or its inhibition. One of the most popular testbeds for the study of angiogenesis is developing chick embryo and its chorioallantoic membrane (CAM). In this paper, an automated image analysis and statistical processing method for the extraction of features informative for the angiogenic process is proposed and a Web-based tool that provides an unbiased quantification of the microvessel density and growth in angiogenic CAM images is described. The applicability of the tool is tested in two datasets, concerning: 1) the quantification and subsequent detection of tumor growth at different stages of embryonic development and 2) the inhibitory effect of dexamethasone (i.e., an inhibitor of the angiogenesis phenomenon) over a series of CAM samples. Experimental results presented in this paper indicate the efficiency of the automated angiogenesis quantification method regarding both tumor growth and inhibition detection.
Τίτλος πηγής δημοσίευσης:	Ieee Transactions on Information Technology in Biomedicine
Τόμος/Κεφάλαιο:	12
Τεύχος:	5
Σελίδες:	650-657
Θεματική Κατηγορία:	[EL] Βιολογία (Γενικά)[EN] Biology (General) [EL] Ηλεκτρονικοί υπολογιστές. Επιστήμη των υπολογιστών[EN] Electronic computers. Computer science
Λέξεις-Κλειδιά:	angiogenesis quantification feature extraction image analysis medical image processing statistical averaging Computer Science, Information Systems Computer Science, Interdisciplinary Applications Medical Informatics
Αξιολόγηση από ομότιμους (peer reviewed):	Ναι
Κάτοχος πνευματικών δικαιωμάτων:	© IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Ηλεκτρονική διεύθυνση περιοδικού (link) :	http://ieeexplore.ieee.org/servlet/opac?punumber=4233
ΙΒΦΧΒ: αρχειακή συλλογή:	Ινστιτούτο Βιολογικών Ερευνών και Βιοτεχνολογίας (ΙΒΕΒ) (έως 2012)
Εμφανίζεται στις συλλογές:	Ινστιτούτο Χημικής Βιολογίας - Επιστημονικό έργο