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10 July 2003 Automated in vivo change analysis of tumor vasculature from two-photon confocal image time series
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Automated methods are described for in vivo quantitation of changes in tumor vasculature. The tumor subsurface is imaged non-invasively over time with two-photon confocal microscopy aided by a variety of chronic animal window preparations. This results in time series of three-dimensional (3-D) image stacks for each specimen at high resolution (768x512x32 voxels, 8 bits/voxel, every 24 hours for 7 days), imaging depth and signal-to-background ratio. Next, automated image analysis allows detection and quantitation of vascular changes in a rapid and objective manner without manual tedium. We describe a fast new algorithm for fully automated 3-D tracing (50 seconds to trace a 10 MB stack on a Dell 1 GHz Pentium III personal computer). A variety of measurements including tortuosity, length, thickness, and branching order are generated and analyzed. Quantitative validation of the performance of the tracing algorithm against manual tracing resulted in 81% concordance. This enables a broader set of change analysis studies including testing the efficacy of anti-angiogenic therapies and deriving vessel growth parameters that may be correlated with physiological and gene expression profiles in tumor.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Muhammad-Amri Abdul-Karim, Omar Al-Kofahi, Edward B. Brown III, Rakesh K. Jain, Khalid Al-Kofahi, and Badrinath Roysam "Automated in vivo change analysis of tumor vasculature from two-photon confocal image time series", Proc. SPIE 4963, Multiphoton Microscopy in the Biomedical Sciences III, (10 July 2003);

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