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Fig. 8 | Journal of Cardiovascular Magnetic Resonance

Fig. 8

From: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance

Fig. 8

Inline real-time cine with deep learning-based radial acceleration in coronary artery disease (CAD). Four patients are shown whose recruitment criteria included being symptomatic and having a stress test for suspicion of CAD. Patients underwent an exercise CMR protocol. Top images were collected at rest, and bottom images were collected after supine exercise using a CMR compatible cycle ergometer. Images are shown at end-diastole. Patient 4 at pre-exercise corresponds to subject 4 in Fig. 6, and at post-exercise corresponds to subject 5 in Fig. 7, accordingly. The BMI for patients 1–4 was 22, 27, 26, and 24 lbs/in2, accordingly. During rest, the mean artifact levels were 3.0, 3.7, 4.0 and 4.0. The resting heart rates were 83, 62, 70 and 49 bpm. During post-exercise stress, the mean artifact levels were 3.3, 3.3, 3.3 and 3.7. The peak heart rates post-exercise were 115, 132, 107 and 134 bpm, accordingly

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