Automatic quantification of neo-vasculature from micro-CT

Yogish Mallya; A. K. Narayanan; Lyubomir Zagorchev

doi:10.1117/12.811162

27 March 2009 Automatic quantification of neo-vasculature from micro-CT

Yogish Mallya, A. K. Narayanan, Lyubomir Zagorchev

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72594H (2009) https://doi.org/10.1117/12.811162
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Angiogenesis is the process of formation of new blood vessels as outgrowths of pre-existing ones. It occurs naturally during development, tissue repair, and abnormally in pathologic diseases such as cancer. It is associated with proliferation of blood vessels/tubular sprouts that penetrate deep into tissues to supply nutrients and remove waste products. The process starts with migration of endothelial cells. As the cells move towards the target area they form small tubular sprouts recruited from the parent vessel. The sprouts grow in length due to migration, proliferation, and recruitment of new endothelial cells and the process continues until the target area becomes fully vascular. Accurate quantification of sprout formation is very important for evaluation of treatments for ischemia as well as angiogenesis inhibitors and plays a key role in the battle against cancer. This paper presents a technique for automatic quantification of newly formed blood vessels from Micro-CT volumes of tumor samples. A semiautomatic technique based on interpolation of Bezier curves was used to segment out the cancerous growths. Small vessels as determined by their diameter within the segmented tumors were enhanced and quantified with a multi-scale 3-D line detection filter. The same technique can be easily extended for quantification of tubular structures in other 3-D medical imaging modalities. Experimental results are presented and discussed.

Citation Download Citation

Yogish Mallya, A. K. Narayanan, and Lyubomir Zagorchev "Automatic quantification of neo-vasculature from micro-CT", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72594H (27 March 2009); https://doi.org/10.1117/12.811162

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