Image Quality of Whole-Body Diffusion MR Images Comparing Deep-Learning Accelerated and Conventional Sequences
EUROPEAN RADIOLOGY(2024)
Abstract
To compare the image quality of deep learning accelerated whole-body (WB) with conventional diffusion sequences. Fifty consecutive patients with bone marrow cancer underwent WB-MRI. Two experts compared axial b900 s/mm2 and the corresponding maximum intensity projections (MIP) of deep resolve boost (DRB) accelerated diffusion-weighted imaging (DWI) sequences (time of acquisition: 6:42 min) against conventional sequences (time of acquisition: 14 min). Readers assessed paired images for noise, artefacts, signal fat suppression, and lesion conspicuity using Likert scales, also expressing their overall subjective preference. Signal-to-noise and contrast-to-noise ratios (SNR and CNR) and the apparent diffusion coefficient (ADC) values of normal tissues and cancer lesions were statistically compared. Overall, radiologists preferred either axial DRB b900 and/or corresponding MIP images in almost 80
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Key words
Magnetic resonance imaging,Diffusion-weighted imaging,Deep-learning,Artificial intelligence,Cancer
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