Noriyuki Fujima

Enhanced image quality in head and neck MRI with PROPELLER and deep learning reconstruction

Yuki Takano, Noriyuki Fujima, Motoma Kanaya, Yukie Shimizu et autres

Purpose: To evaluate the benefits of combining the Periodically Rotated Overlapping ParallEL Lines with Enhanced Reconstruction (PROPELLER) acquisition technique and deep learning-based reconstruction (DLR) for fat-suppressed T2-weighted imaging (Fs-T2WI) and diffusion-weighted imaging (DWI) in head and neck MRI. Materials and methods: This …

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Vessel wall enhancement in brain arteriovenous malformations: associations with imaging and histopathological markers of instability

Masaki Ujihara, Taku Sugiyama, Noriyuki Fujima, UTANO TOMARU et autres

jp (code pays fourni par la source)

Image Quality Assessment of the External Carotid Artery and Its Branches on Ultra-High-Resolution Head and Neck Computed Tomography Angiography Using a High-Resolution 0.25-mm Detector and Deep Learning Reconstruction

Motoma Kanaya, Noriyuki Fujima, Koji Yamasaki, Yuki Takano et autres

BACKGROUND AND PURPOSE: Deep learning reconstruction can improve image quality of CTA, but its benefit for visualizing small-caliber external carotid artery branches on ultra-high-resolution CTA remains unclear. We evaluated the image quality of ultra-high-resolution CTA of the external carotid artery using filtered …

Improved visualization of perivascular spaces on T2-weighted imaging with deep learning-based denoising and super-resolution reconstruction

Yuya Hirano, Noriyuki Fujima, Hiroyuki Kameda, Hiroyuki Hamaguchi et autres

This prospective study evaluated the ability of a deep learning-based denoising followed by super-resolution function (SR-DL) to improve the visualization of perivascular spaces (PVSs) on T2-weighted imaging (T2WI). Ten healthy volunteers underwent brain MRI using T2WI with three acquisition voxel sizes (1.0 …

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Effects of gadolinium-based contrast agents on the cardiac diffusion-weighted images of phantoms and patients

Satonori Tsuneta, Satoru Aono, Jihun Kwon, Masami Yoneyama et autres

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Quality of Head and Neck Diffusion-weighted MR Imaging Using a Combination of the Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction (PROPELLER) Sequence and Deep Learning Reconstruction

Taro Fujiwara, Noriyuki Fujima, Hiroyuki Hamaguchi, Kinya Ishizaka et autres

PURPOSE: To evaluate whether periodically rotated overlapping parallel lines with enhanced reconstruction-diffusion-weighted imaging (PROPELLER-DWI) combined with deep learning-based reconstruction (DLR) improves head and neck DWI, we conducted a primary comparison of PROPELLER-DWI with DLR at varying strengths and without DLR, and a …

jp (code pays fourni par la source)

χ-separation insights into whole-brain characterization of age-related patterns of susceptibility in healthy aging

Yoshitaka Bito, Hiroyuki Kameda, Yohei Ikebe, Yukie Shimizu et autres

Quantitative Susceptibility Mapping (QSM) enables noninvasive assessment of brain tissue composition, but conventional approaches provide only a composite measure that merges paramagnetic and diamagnetic contributions, limiting biological specificity. Recent advances in χ-separation overcome this limitation by separating χ-paramagnetic (χ-para) and χ-diamagnetic (χ-dia) …

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Ultra-fast whole-brain T2-weighted imaging in 7 seconds using dual-type deep learning reconstruction with single-shot acquisition: clinical feasibility and comparison with conventional methods

Yohei Ikebe, Noriyuki Fujima, Hiroyuki Kameda, Taisuke Harada et autres

PURPOSE: To evaluate the image quality and clinical utility of ultra-fast T2-weighted imaging (UF-T2WI), which acquires all slice data in 7 s using a single-shot turbo spin-echo technique combined with dual-type deep learning (DL) reconstruction, incorporating DL-based image denoising and super-resolution processing, …

jp (code pays fourni par la source)

Gadolinium-based contrast agent and stimulated echo acquisition mode cardiac diffusion-weighted imaging: preliminary results

Satonori Tsuneta, Satoru Aono, Jihun Kwon, Masami Yoneyama et autres

Motivation: Advanced cardiac sequences, such as stimulated echo acquisition mode (STEAM) diffusion-weighted imaging (DWI), preferably scan during the interval between gadolinium-based contrast agent (Gd) injection and late gadolinium enhancement to shorten the examination time if possible. Goal(s): We sought to reveal whether …

Formulation and Simulation of Low b-value DTI of Pseudorandom Flow in CSF

Yoshitaka Bito, Hiroyuki Kameda, Noriyuki Fujima, Naoyuki Kinota et autres

Motivation: While low b-value (low-b) DTI is used to measure pseudorandom flow in CSF, spatial relationship of DT among multiple voxels has not been clearly shown. Goal(s): To reveal spatial features of pseudorandom flow with low-b DTI. Approach: A formula expressing the …

Comparative evaluation of four reconstruction techniques for prostate T2-weighted MRI: Sensitivity encoding, compressed sensing, deep learning, and super-resolution

Noriko Nishioka, Noriyuki Fujima, Satonori Tsuneta, Daisuke Kato et autres

Purpose: To evaluate and compare the image quality and lesion conspicuity of prostate T2-weighted imaging (T2WI) using four reconstruction methods: conventional Sensitivity Encoding (SENSE), compressed sensing (CS), model-based deep learning reconstruction (DL), and deep learning super-resolution reconstruction (SR). Methods: This retrospective study …

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Diagnosis of thyroid cartilage invasion by laryngeal and hypopharyngeal cancers based on CT with deep learning

Noriyuki Fujima, Junichi Nakagawa, Hiroaki Dobashi, Yukie Shimizu et autres

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