Mihaela Jekic1, Jennifer Dickerson2, Eric Foster3, Beth McCarthy2, Subha V. Raman2, Orlando P. Simonetti4
1Biomedical Engineering, The Ohio State University, Columbus, OH, USA; 2The Ohio State University Medical Center; 3Mechanical Engineering, The Ohio State University; 4Internal Medicine and Radiology, The Ohio State University
We investigated whether real-time non-breathhold cine with TGRAPPA rate 3 acceleration, temporal resolution of 62 ms, and spatial resolution of 3.8x2.5x8mm can detect regional wall motion abnormalities at peak exercise stress. We performed a blinded review of five patients suspected of coronary artery disease and five healthy subjects. Images from all five healthy volunteers and three patients with <70% stenoses were correctly interpreted as normal. Two patients with >70% lesions were diagnosed with wall motion abnormalities. Our results indicate that it is feasible to detect exercise-induced regional wall motion abnormalities using real-time non-breath-hold cine.