ArticleMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2026
Effects of Artificial Intelligence-based Reconstruction on Image Quality and Voxel-based Morphometry Analysis of Atrophy in Accelerated MPRAGE.
Article in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeTo investigate the effects of artificial intelligence (AI)-based reconstruction on image quality and voxel-based morphometry (VBM)-based atrophy analysis in 3D Magnetization Prepared Rapid Gradient Echo (MPRAGE).
methodsTen healthy volunteers underwent 3T MPRAGE imaging using varying acceleration factors with sensitivity encoding (SENSE) (SE; 2,3), compressed sensing (CS; 2,3,5,8), and AI-based reconstruction (AI; 2,3,5,8). Quantitative assessment included SNR and contrast-to-noise ratio (CNR) in both superficial and deep brain regions. Visual assessment of image quality was performed by 2 experienced neuroradiologists. VBM-based Z-score analysis of regional atrophy was performed using Voxel-based Specific Regional Analysis System for Alzheimer's Disease (VSRAD). Images acquired using a widely recognized standard imaging protocol, SENSE acceleration factor 2 with 1.0-mm isotropic voxels, were used as the reference, and various reconstruction methods and acceleration factors were compared.
resultsConventional SENSE and CS reconstructions showed stepwise decreases in SNR and CNR with increasing acceleration factors. SNR decrease was particularly pronounced in deep brain regions. Images with AI-based reconstruction maintained relatively stable SNR and CNR across acceleration factors, showing consistent performance in both superficial and deep regions. Visual assessment confirmed reduced noise in images with AI-based reconstruction, which were rated as more favorable for interpretation than SE or CS images. VSRAD analysis demonstrated high correlation with reference images and minimal systematic bias across all acceleration conditions.
conclusionAI-based reconstruction may enable faster MPRAGE acquisition (up to 5-fold acceleration) while preserving image quality and the reproducibility of VBM-based atrophy analysis.
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