1Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 2Electrical Engineering, Los Angeles, CA, United States
Advances
in MR hardware, pulse sequences, and calibration have made quantitative CMR a
reality. Quantitative maps (e.g. T1, T2, ECV) are formed from multiple images,
which make them susceptible to errors caused by signal fluctuations from
cardiac or respiratory motion, termed physiological noise. Reproducibility of
quantitative CMR maps is critical for future clinical adoption and depends on
the ratio of signal amplitude to physiological noise, termed temporal SNR. In
this study, we measure temporal SNR in bSSFP quantitative CMR to characterize physiological
noise for a range of image resolutions, acceleration factors, and post
inversion delays.
