Reconstructing the angiome: a new platform for characterizing disease progression and drug efficacy

Pavel Govyadinov; Jiaming Guo; Leila Saadatifard; Camille Artur; Jason Eriksen; Guoning Chen; David Mayerich

doi:10.1117/12.2555137

17 February 2020 Reconstructing the angiome: a new platform for characterizing disease progression and drug efficacy

Pavel Govyadinov, Jiaming Guo, Leila Saadatifard, Camille Artur, Jason Eriksen, Guoning Chen, David Mayerich

Proceedings Volume 11231, Design and Quality for Biomedical Technologies XIII; 112310B (2020) https://doi.org/10.1117/12.2555137
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

A comprehensive understanding of microvascular networks is required to generate platforms that track treatment efficacy. Current approaches are labor intensive and limited to small tissue volumes. In this work we describe an acquisition and segmentation framework for low-cost imaging and microvascular modeling at resolution comparable to confocal with data rates comparable to light-sheet microscopy. Segmentation is performed using a GPU-based method that extracts microvascular structure and connectivity embedded in these images. The microvasculature network is stored such that the graph [G = V, E] structure can be exploited to quantify large-scale angiomes and facilitate data mining at the terabyte scale.

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Citation Download Citation

Pavel Govyadinov, Jiaming Guo, Leila Saadatifard, Camille Artur, Jason Eriksen, Guoning Chen, and David Mayerich "Reconstructing the angiome: a new platform for characterizing disease progression and drug efficacy", Proc. SPIE 11231, Design and Quality for Biomedical Technologies XIII, 112310B (17 February 2020); https://doi.org/10.1117/12.2555137

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