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Author

Ryutaro Yano

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Sep 2026

Super-Resolution Deep Learning Reconstruction for 3-Dimensional T1-Weighted Gradient-Echo Imaging in Contrast-Enhanced Liver MRI: Comparison With Conventional and Standard Deep Learning Reconstructions.

PURPOSE To evaluate the image quality of super-resolution deep learning reconstruction (SR-DLR) for 3-dimensional (3D) T1-weighted gradient-echo (GRE) imaging in contrast-enhanced MRI, compared with conventional reconstruction (Conv.) and standard deep learning reconstruction (DLR). MATERIALS AND METHODS This retrosp...

Kentaro Nishiuchi, K. Sofue, K. Tsukamoto et al. · 0 citations
Open access Aug 2026

AI-based reconstruction from low-resolution acquisitions for diffusion MRI: evaluation of FOD similarity

This study evaluated an AI-based reconstruction method, Precise IQ Engine (PIQE), and demonstrated that PIQE exhibited higher distributional similarity and directional agreement compared with ZIP+Advanced Intelligent Clear-IQ Engine (AiCE), with statistically significant similarity observed.

Akihiro Kasahara, Yuichi Suzuki, Kazuki Endo et al. · 0 citations
Open access 2026

Usefulness of Adaptive Complex Signal Average Diffusion-weighted MR Imaging of the Abdomen.

ACSA provides a robust, clinically feasible post-processing technique for enhancing both image quality and quantitative reliability in abdominal DWI and improves signal uniformity, SNR, and lesion contrast while maintaining reasonable ADC quantification.

Miwa Matsukuma, M. Tanabe, M. Higashi et al. · 0 citations

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