This study aims to evaluate the scan time shortening potential of iQMR, a novel 3D image enhancement algorithm, in brain and lumbar spine MRI. iQMR provides image enhancement and increased Signal-to-Noise Ratio (SNR), thus permitting substantial scan time reduction, without changing the imaging contrast, resolution, scanner hardware, or software. This study reports findings of 56 patients (37 brain, 19 lumbar spine) from three sites. Image quality, diagnostic quality, brain grey-white (GW) matter differentiation and artifacts’ appearance of iQMR-processed images acquired by short MRI protocols were compared to images acquired by standard MRI protocols.
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substantial shortening of brain and lumbar spine MR scan time using iQMR™ machine learning-based iterative image reconstruction algorithm: multi-site study
Conventional and processed – short protocols 1.5T imaging of normal brain and lumbar spine. Conventional (upper row) T2-weighted imaging (A) and T1-weighted imaging (C) and the corresponding processed-shorter protocol variants imaging (B,D) demonstrate comparable image quality and diagnostic suitability. Scan time of variants was reduced by 50% for T2 and by 24% for T1l (accelerated withCS-4), AT=1:42 and (C) Fast ML processed protocol (accelerated with CS-4), AT=1:42