This study evaluates whether newly developed non-FDA approved image processing techniques \[Adaptive Image Reconstruction (AIR Recon) Deep Learning (DL) and Sonic DL\] can provide improved quality and decreased time compared to current scanning techniques.
Study Type
OBSERVATIONAL
Enrollment
60
Non-interventional study
Mayo Clinic in Rochester
Rochester, Minnesota, United States
RECRUITINGChange in image quality (healthy volunteers)
Three expert radiologists will read scans (blinded to technique) and provide qualitative feedback to score image quality for standard of care (SOC) imaging, SOC with AirRecon DL, SOC with Sonic DL, and SOC with AirRecon DL and Sonic DL. Reader scoring will use a 1-5 Likert scale (1-5; 1:poor, 5:excellent).
Time frame: Baseline
Change in scan time
Will be considered improved if the duration of the added imaging does not exceed 10 minutes
Time frame: Baseline
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