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Abstract #0087

Inline automatic quality control of 2D phase-contrast flow MR imaging for subject-specific scan time adaptation

Pierre Daudé1, Rajiv Ramasawmy1, Ahsan Javed1, Robert J Lederman2, Kelvin Chow3, and Adrienne Campbell-Washburn1
1Laboratory of Imaging Technology, National Heart, Lung & Blood Institute, NIH, Bethesda, MD, United States, 2Cardiovascular Branch, National Heart, Lung & Blood Institute, NIH, Bethesda, MD, United States, 3Siemens Healthcare Ltd., Calgary, AB, Canada

Synopsis

Keywords: Data Acquisition, Low-Field MRI, MR value

Motivation: Conventional fixed duration acquisitions can result in patient-dependent image quality, leading to either unnecessarily long scan times or insufficient quality across patients.

Goal(s): We propose an inline automatic quality control based on signal-to-noise ratio (SNR) to achieve consistent diagnostic image quality and apply it to 2D phase-contrast flow MRI.

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. Ten healthy volunteers and one patient were imaged at 0.55T.

Results: Deployed inline, the SNR stop threshold saved 53% of the scan duration, with a variation of ±1min across subjects.

Impact: The inline automatic quality control enables a subject-specific optimized scan time while ensuring consistent diagnostic image quality. The distribution of automated stopping times across the population revealed the value of a subject-specific scan time.

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