Keywords: Image Reconstruction, Low-Field MRI, MR value
Motivation: Image quality with fixed scan-duration is patient-dependent, leading to potentially insufficient quality for some patients and unnecessarily long scan time for others.
Goal(s): We propose inline automatic quality control based on signal-to-noise ratio (SNR) to efficiently achieve consistent diagnostic image quality for 3D pulmonary imaging.
Approach: We designed a closed-loop feedback framework between image reconstruction and data acquisition to automatically stop the acquisition when a target SNR is achieved. 6 healthy volunteers (HV) were imaged at 0.55T.
Results: Target SNR was achieved at 3mins 57s±1min 9s across the population.
Impact: The inline automatic quality control enables a subject-specific optimized scan time while ensuring sufficient data for highly resolved complex reconstruction. The distribution of early stopping times (1min 9s) across the population revealed the value of subject-specific scan time.
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