The broad, long term goal of this research is to improve the diagnosis and treatment of ischemic stroke. In this proposed work we will develop new biomedical imaging technologies based on MRI. In light of recent MRI based imaging trials which successfully use MRI for stroke triage, there is an unmet need to improve acute phase physiologic and angiographic imaging in stroke. In this proposal we will develop, validate and perform a pilot study of new MRI pulse sequences that are capable, for the first time, the imaging of volumetric changes in cerebral perfusion, pail collateral flow, and tissue oxygenation in under 10 minutes. Our research group brings together two top-tier research institutes to interactively alter and image cerebral physiology using a novel animal model of ischemic stroke. The use of this model will allow direct visualization of the pial collateral flow, local alteration in cerebral physiology and the hypothesized response to flow augmentation therapy.

Public Health Relevance

The use of Magnetic Resonance Imaging is becoming more widespread in evaluation of patients with an ischemic stroke. We will develop a better way to see not just the blockage of the artery, but to what degree blood is re-routed around it. Knowledge of the degree of compensation will ultimately help decide which type of treatment will best suite them. 7

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS093908-03
Application #
9360577
Study Section
Neuroscience and Ophthalmic Imaging Technologies Study Section (NOIT)
Program Officer
Koenig, James I
Project Start
2016-07-01
Project End
2020-03-31
Budget Start
2017-04-01
Budget End
2018-03-31
Support Year
3
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Chicago
Department
Type
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637
Haddad, Christopher W; Drukker, Karen; Gullett, Rebecca et al. (2018) Fuzzy c-means segmentation of major vessels in angiographic images of stroke. J Med Imaging (Bellingham) 5:014501
Vakil, P; Elmokadem, A H; Syed, F H et al. (2017) Quantifying Intracranial Plaque Permeability with Dynamic Contrast-Enhanced MRI: A Pilot Study. AJNR Am J Neuroradiol 38:243-249
Christoforidis, G A; Vakil, P; Ansari, S A et al. (2017) Impact of Pial Collaterals on Infarct Growth Rate in Experimental Acute Ischemic Stroke. AJNR Am J Neuroradiol 38:270-275
Cantrell, Charles G; Vakil, Parmede; Jeong, Yong et al. (2017) Diffusion-compensated tofts model suggests contrast leakage through aneurysm wall. Magn Reson Med 78:2388-2398
Lin, Chen; Lee, Jungwha; Chatterjee, Neil et al. (2017) Predicting Domain-Specific Health-Related Quality of Life Using Acute Infarct Volume. Stroke 48:1925-1931
Liotta, Eric M; Lizza, Bryan D; Romanova, Anna L et al. (2016) 23.4% Saline Decreases Brain Tissue Volume in Severe Hepatic Encephalopathy as Assessed by a Quantitative CT Marker. Crit Care Med 44:171-9