DocumentCode
3079523
Title
Tracking endothelial cells during blood vessel networks assembly using active contours
Author
Montrucchio, B. ; Lamberti, F. ; Gamba, A. ; Serini, G.
Author_Institution
Dip. di Aut. ed Informatica, Politecnico di Torino, Turin, Italy
fYear
2005
fDate
2-4 Nov. 2005
Firstpage
384
Lastpage
389
Abstract
This paper presents a comprehensive framework for quantitative analysis of vascular processes from in-vitro videomicroscopy data. By following an active contours based approach, we designed a quasi-automatic technique enabling highly interacting motile endothelial cells (ECs) tracking in large field of view phase contrast microscopy video sequences. Our work was motivated by the necessity of validating through statistical analysis an analytical model mimicking ECs behavior. However, the proposed framework could also constitute an invaluable tool supporting general experimental studies on vascularization. Our tracking technique has been extensively validated on realistic data-sets by comparison with a manually defined ground-truth.
Keywords
blood vessels; image sequences; medical image processing; statistical analysis; tracking; video signal processing; active contours; blood vessel networks assembly; endothelial cells tracking; in-vitro videomicroscopy; quantitative analysis; quasiautomatic technique; statistical analysis; vascular processes; vascularization; video sequences; Active contours; Analytical models; Assembly; Biomedical imaging; Blood vessels; Cells (biology); Data mining; Equations; In vitro; Microscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems Design and Implementation, 2005. IEEE Workshop on
ISSN
1520-6130
Print_ISBN
0-7803-9333-3
Type
conf
DOI
10.1109/SIPS.2005.1579898
Filename
1579898
Link To Document