Inline automatic quality control of 2D phase‐contrast flow MRI for subject‐specific scan time adaptation

Author:

Daudé Pierre1ORCID,Ramasawmy Rajiv1ORCID,Javed Ahsan1ORCID,Lederman Robert J.2ORCID,Chow Kelvin3ORCID,Campbell‐Washburn Adrienne E.1ORCID

Affiliation:

1. Laboratory of Imaging Technology, Cardiovascular Branch, Division of Intramural Research, National Heart Lung & Blood Institute National Institutes of Health Bethesda Maryland USA

2. Laboratory of Cardiovascular Intervention, Cardiovascular Branch, Division of Intramural Research, National Heart Lung & Blood Institute National Institutes of Health Bethesda Maryland USA

3. Siemens Healthcare Ltd. Calgary Alberta Canada

Abstract

AbstractPurposeTo develop an inline automatic quality control to achieve consistent diagnostic image quality with subject‐specific scan time, and to demonstrate this method for 2D phase‐contrast flow MRI to reach a predetermined SNR.MethodsWe designed a closed‐loop feedback framework between image reconstruction and data acquisition to intermittently check SNR (every 20 s) and automatically stop the acquisition when a target SNR is achieved. A free‐breathing 2D pseudo‐golden‐angle spiral phase‐contrast sequence was modified to listen for image‐quality messages from the reconstructions. Ten healthy volunteers and 1 patient were imaged at 0.55 T. Target SNR was selected based on retrospective analysis of cardiac output error, and performance of the automatic SNR‐driven “stop” was assessed inline.ResultsSNR calculation and automated segmentation was feasible within 20 s with inline deployment. The SNR‐driven acquisition time was 2 min 39 s ± 67 s (aorta) and 3 min ± 80 s (main pulmonary artery) with a min/max acquisition time of 1 min 43 s/4 min 52 s (aorta) and 1 min 43 s/5 min 50 s (main pulmonary artery) across 6 healthy volunteers, while ensuring a diagnostic measurement with relative absolute error in quantitative flow measurement lower than 2.1% (aorta) and 6.3% (main pulmonary artery).ConclusionThe inline quality control enables subject‐specific optimized scan times while ensuring consistent diagnostic image quality. The distribution of automated stopping times across the population revealed the value of a subject‐specific scan time.

Funder

Division of Intramural Research

Publisher

Wiley

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