The technology to characterize microvascular network dynamics and assess its impact on tissue oxygen delivery is only now emerging. We have recently demonstrated the unprecedented ability to map oxygen in the microvasculature and cerebral tissue with two-photon microscopy (TPM) [Sakadzic2010] and are proposing to complement this with our novel statistical intensity variation optical coherence tomography (OCT), enabling quantitative dynamic maps of microvessel flow, red blood cell flux, and vessel diameter. Combined, these technologies will provide unprecedented spatio-temporal resolution imaging of oxygen delivery to brain tissue. These technologies will have a broad impact in health science in preclinical models of neuro-degenerative diseases and cancer, and, as we elaborate in Aim 4, help guide the identification of clinically relevant imaging biomarkers. To demonstrate the technologies' utility, we will address fundamental questions about cerebral vascular physiology: How do microvascular flow properties impact tissue oxygenation, and how do age-related vascular alterations compromise tissue oxygenation? We will then relate these findings to clinically relevant imaging biomarkers.

Public Health Relevance

We develop novel imaging technologies for quantifying tissue oxygen delivery with unprecedented microvascular resolution. These technologies will have a broad impact in health science in preclinical models of neuro-degenerative diseases and cancer, in which oxygen delivery is compromised, and help guide the identification of clinically relevant imaging biomarkers.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB021018-02
Application #
9135432
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Pai, Vinay Manjunath
Project Start
2015-09-01
Project End
2019-06-30
Budget Start
2016-07-01
Budget End
2017-06-30
Support Year
2
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
Kura, Sreekanth; Xie, Hongyu; Fu, Buyin et al. (2018) Intrinsic optical signal imaging of the blood volume changes is sufficient for mapping the resting state functional connectivity in the rodent cortex. J Neural Eng 15:035003
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Gagnon, Louis; Sakadži?, Sava; Lesage, Frédéric et al. (2016) Validation and optimization of hypercapnic-calibrated fMRI from oxygen-sensitive two-photon microscopy. Philos Trans R Soc Lond B Biol Sci 371:

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