City Research Online

Abstract

Limited contrast in optical images from intravital microscopy is problematic for analysing tumour vascular morphology. Moreover, in some cases, changes in vasculature are visible to a human observer but are not easy to quantify. In this paper two quantitative on-line algorithms are presented: scale-space vessel tracing and chromatic decomposition for tumour vasculature from in-vivo transmitted light optical images. The algorithms were tested on intravital window chamber images of the vasculature from SW1222 human colorectal carcinomas, which were treated with a vascular disrupting agent combretastatin-A-4-phosphate (CA-4-P) or saline. The results confirmed the well-known effects of CA-4-P on the constriction of vessels. Furthermore, changes in the chromaticity suggest a deoxygenation of the blood with a recovery to initial levels in CA-4-P-treated tumours relative to the controls. The algorithms can be freely applied to any vascular image through the CAIMAN (CAncer IMage ANalysis: http://www.caiman.org.uk).

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	Copyright 2011. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.
Publisher Keywords:	vessel tracing, chromatic analysis, tumour vasculature
Subjects:	R Medicine > RE Ophthalmology T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments:	School of Science & Technology > Engineering School of Science & Technology > Computer Science > giCentre

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