A bioimage informatics based reconstruction of breast tumor microvasculature with computational blood flow predictions.

ABSTRACT: Induction of tumor angiogenesis is among the hallmarks of cancer and a driver of metastatic cascade initiation. Recent advances in high-resolution imaging enable highly detailed three-dimensional geometrical representation of the whole-tumor microvascular architecture. This enormous increase in complexity of image-based data necessitates the application of informatics methods for the analysis, mining and reconstruction of these spatial graph data structures. We present a novel methodology that combines ex-vivo high-resolution micro-computed tomography imaging data with a bioimage informatics algorithm to track and reconstruct the whole-tumor vasculature of a human breast cancer model. The reconstructed tumor vascular network is used as an input of a computational model that estimates blood

SUBMITTER: Stamatelos SK 

PROVIDER: S-EPMC3977934 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature