ArticleQuantitative imaging in medicine and surgery2025
Feasibility of magnetization-transfer-contrast relaxation-enhanced angiography without contrast and triggering (REACT) imaging at 1.5 T combined with deep learning-based reconstruction for cardiovascular visualization.
Article in Quantitative imaging in medicine and surgery, 2025. 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
Background: Relaxation-enhanced angiography without contrast and triggering (REACT) is a flow-independent three-dimensional (3D) magnetic resonance angiography sequence designed to minimize artifacts using the Dixon method and an inversion recovery pre-pulse. A magnetization transfer contrast (MTC) pre-pulse (MTC-REACT) may further enhance image quality. This study evaluates the feasibility of MTC-REACT and examines deep learning-based reconstruction to improve image quality for pulmonary veins. Methods: This study was approved by the institutional review board. Twenty participants were prospectively recruited. Ten-fold undersampling was applied for REACT and MTC-REACT data acquisition. The inline compressed sense (CS) reconstruction algorithm, and an off-line Adaptive-CS-Net algorithm, were used for MTC-REACT and REACT image reconstruction. Commercially available analysis software was used for multi-planar reformatting, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) measurements, and image quality analysis. Categorical data were compared with a Wilcoxon signed ranks test and normally distributed variables with a Results: The Adaptive CS-Net reconstructed MTC-REACT images provided significantly higher SNR and CNR for right pulmonary veins (SNR 33.9±4.1, 30.3±3.4; CNR 33.3±3.4, 29.6±4.3), and left pulmonary veins (SNR 35.0±3.6, 31.2±4.3; CNR 34.6±4.2, 30.6±4.4) with all P values <0.05 compared to the CS-reconstructed MTC-REACT sequence. When Adaptive CS-Net reconstruction is used for both techniques, MTC-REACT images displayed significantly higher SNR and CNR compared to the REACT sequence for only left pulmonary veins (SNR 35±3.3, 32.4±4.6; CNR 34.6±3.4, 31.8±4.6). The Adaptive-CS-Net reconstructed MTC-REACT sequence consistently outperforms the CS-reconstructed MTC-REACT for pulmonary artery and vein imaging. Conclusions: The Adaptive-CS-Net reconstructed MTC-REACT images consistently deliver superior CNR, and SNR compared to the CS reconstructed images for pulmonary veins. Notably, the MTC-REACT technique enhances image quality for pulmonary veins compared to the REACT sequence, irrespective of the deep-learning reconstruction method's impact.
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