Meeting Banner
Abstract #1255

Excess High Noise in Exercise Stress Real-Time Cardiac Cine Images

Yu Ding1, Hui Xue2, Ti-chiun Chang3, Christoph Guetter2, Orlando Simonetti1, 4

1Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States; 2Siemens Corporate Research; 3Siemens Corporate Research,; 4Biomedical Engineering, The Ohio State University

Compared to real-time cardiac cine images at rest, the exercise stress real-time cine images show significantly lower SNR. In this abstract, we will demonstrate that the excess high noise level is a motion induced noise. When the motion is severe, every temporal frame cannot be approximated as an instantaneous snap-shot. The motion may induce a signal variation which behaves statistically like spatial noise. Using in vivo volunteer study, we found that the apparent noise level in stress MRI raw data with rapid heart rate and breathing is higher than that of the resting real-time cine raw data.

Keywords

abnormalities acceleration accessed accurate acquisition additionally affect analogous apparent applicable approximated approximation array assess axis bandwidth behaves better biomedical breathing cardiac cardiovascular chamber channel channels chest cine coefficient coil completely corporate correlated correlation detect deterministic ding disease distortions electronic engineering even every excess exercise expect fast frame green heart hypotheses identical identity immediately included inconsistencies increasing increment indicates induce induced instantaneous institute introduced introduces larger like long lung matrix measure measured motion noise originating parallel peak perturbation pixel plots positively promising proposed protocol protocols random randomness rapid real recently reduced relation resolution resolutions respectively rest resting robust sampling scanner series short shot significantly since singular slice slices smaller snap space spatial spectrum statistically stress sufficiently temporal theory though treadmill utilizing variance variation ventricular volunteer volunteers wall words