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Abstract #0414

The Physiological Noise Contribution to Temporal Signal-to-Noise Increases with Decreasing Resolution and Acceleration in Quantitative CMR

Terrence Jao1 and Krishna Nayak2

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.

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