Sotirios Athanasios Tsaftaris1,2, Richard Tang2, Xiangzhi Zhou2, Debiao Li2, Rohan Dharmakumar2
1Electrical Engineering & Computer Science, Northwestern University, Evanston, IL, United States; 2Radiology, Northwestern University, Chicago, IL, United States
Current approaches for analyzing myocardial BOLD changes are suboptimal for detecting critical stenosis. This study proposes, ARREAS (Area-based biomaRker for chaRactErizing coronAry Stenosis), a statistical approach relying on the differences between rest and stress images, to characterize BOLD changes with exquisite sensitivity and specificity. Findings are validated with microsphere perfusion measurements. The method has the potential to rapidly determine the presence of oxygenation anomalies in the myocardium due to coronary artery disease, and provide an unbiased and quantitative imaging biomarker that can enable the assessment of the critical states of stenosis on the basis of BOLD MRI.