Vascular imaging of the brain has played an important role in the management of a variety of brain disorders, such as intracranial stenosis, carotid artery stenosis, stroke, small vessel diseases, brain tumor, traumatic brain injury, Moyamoya disease, and drug-addictive conditions. Both baseline examinations and stress tests are commonly used in clinical practice and they provide complementary information. However, a major limitation is that collection of all of this information requires separate scans and, in some cases, separate visits. This limitation increases patient burden and significantly escalates the cost of care. Therefore, the goal of this R21 project is to develop advanced methods to perform a one-stop-shop imaging of vascular physiology that provides multiple domains of information. The proposed technique uses the time of a single scan to apply both O2 and CO2 gas inhalation tasks, which provide baseline and vascular reactivity information, respectively, and tracks the gas bolus to obtain transit time information, as well as extracting functional connectivity networks from the same dataset. CO2 and O2 are important components of our body's metabolic pathway, but they also have interesting vascular properties in the context of brain perfusion imaging. CO2 is a potent vasodilator and can be used to measure vascular reactivity. O2 is inert to blood vessels but its inhalation changes BOLD MRI signal, which allows the estimation of an index of baseline cerebral blood volume (CBV). Furthermore, with our novel breathing paradigm, both CO2 and O2 tasks can be completed concomitantly with the duration of one scan. Additionally, inhaled O2 and CO2 can serve as boluses in the blood stream for the measurement of bolus time-to-peak (TTP). Finally, BOLD MRI data acquired during gas-inhalation tasks can be used for the analysis of functional connectivity networks of the brain. Therefore, our central hypothesis is that a single MRI scan with the proposed procedure will simultaneously provide baseline CBV, cerebrovascular reactivity, time-to-peak, and resting-state functional connectivity. We will first conduct development of the technique in healthy controls (in Aim 1), then perform validation and initial clinical demonstration in patients with intracranial arterial stenosis (in Aim 2). Impact: The impact on clinical practice is that cerebrovascular patients who require both baseline and reactivity assessment will be able to complete the whole procedure with just one visit of 10-15 minutes (as opposed to two visits of 90 minutes each). Additionally, patients who are allergic to conventional contrast agent will have access to an alternative contrast agent (i.e. O2 and CO2 gases) for their vascular imaging needs.

Public Health Relevance

Imaging of vascular health of the brain plays an important role in the management of many neurological disorders. Current technologies require separate scans and, in some cases, separate patient visits, which increases patient burden and significantly escalates the cost of care. This project will develop an MRI technique to evaluate multiple aspects of vascular health in a single scan.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21NS095342-01A1
Application #
9115337
Study Section
Neuroscience and Ophthalmic Imaging Technologies Study Section (NOIT)
Program Officer
Babcock, Debra J
Project Start
2016-03-01
Project End
2018-02-28
Budget Start
2016-03-01
Budget End
2017-02-28
Support Year
1
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21205
Liu, Peiying; De Vis, Jill B; Lu, Hanzhang (2018) Cerebrovascular reactivity (CVR) MRI with CO2 challenge: A technical review. Neuroimage :
Li, Yang; Mao, Deng; Li, Zhiqiang et al. (2018) Cardiac-triggered pseudo-continuous arterial-spin-labeling: A cost-effective scheme to further enhance the reliability of arterial-spin-labeling MRI. Magn Reson Med 80:969-975
De Vis, Jill B; Lu, Hanzhang; Ravi, Harshan et al. (2018) Spatial distribution of flow and oxygenation in the cerebral venous drainage system. J Magn Reson Imaging 47:1091-1098
Wei, Zhiliang; Xu, Jiadi; Liu, Peiying et al. (2018) Quantitative assessment of cerebral venous blood T2 in mouse at 11.7T: Implementation, optimization, and age effect. Magn Reson Med 80:521-528
Wei, Zhiliang; Chen, Lin; Lin, Zixuan et al. (2018) Optimization of phase-contrast MRI for the estimation of global cerebral blood flow of mice at 11.7T. Magn Reson Med :
Hou, Xirui; Liu, Peiying; Gu, Hong et al. (2018) Estimation of brain functional connectivity from hypercapnia BOLD MRI data: Validation in a lifespan cohort of 170 subjects. Neuroimage 186:455-463
Jiang, Dengrong; Liu, Peiying; Li, Yang et al. (2018) Cross-vendor harmonization of T2 -relaxation-under-spin-tagging (TRUST) MRI for the assessment of cerebral venous oxygenation. Magn Reson Med 80:1125-1131
Lin, Zixuan; Li, Yang; Su, Pan et al. (2018) Non-contrast MR imaging of blood-brain barrier permeability to water. Magn Reson Med 80:1507-1520
Mao, Deng; Li, Yang; Liu, Peiying et al. (2018) Three-dimensional mapping of brain venous oxygenation using R2* oximetry. Magn Reson Med 79:1304-1313
Liu, Peiying; Welch, Babu G; Li, Yang et al. (2017) Multiparametric imaging of brain hemodynamics and function using gas-inhalation MRI. Neuroimage 146:715-723

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