日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Simultaneous Visualization of the Carotid and Subclavian Arteries Using Non-Contrast-Enhanced MR Angiography With a 3D Fast Field Echo Sequence and Time-Spatial Labeling Inversion Pulse: A Comparison With 3D Time-of-Flight MR Angiography

采用三维快速场回波序列和时空标记反转脉冲的非增强磁共振血管造影同时显示颈动脉和锁骨下动脉:与三维飞行时间磁共振血管造影的比较

Numamoto, Hitomi; Fujimoto, Koji; Okuchi, Sachi; Miyake, Kanae K; Fushimi, Yasutaka; Maki, Takakuni; Monzen, Yuichiro; Imai, Rimika; Ichinose, Nobuyasu; Nakamoto, Yuji

Thin-slice 2D MR Imaging of the Shoulder Joint Using Denoising Deep Learning Reconstruction Provides Higher Image Quality Than 3D MR Imaging

采用去噪深度学习重建的肩关节薄层二维磁共振成像比三维磁共振成像提供更高的图像质量

Kakigi, Takahide; Sakamoto, Ryo; Arai, Ryuzo; Yamamoto, Akira; Kuriyama, Shinichi; Sano, Yuichiro; Imai, Rimika; Numamoto, Hitomi; Miyake, Kanae Kawai; Saga, Tsuneo; Matsuda, Shuichi; Nakamoto, Yuji

Evaluating Reproducibility of the ADC and Distortion in Diffusion-weighted Imaging (DWI) with Reverse Encoding Distortion Correction (RDC)

利用反向编码畸变校正 (RDC) 评估扩散加权成像 (DWI) 中 ADC 和畸变的可重复性

Numamoto, Hitomi; Fujimoto, Koji; Miyake, Kanae Kawai; Fushimi, Yasutaka; Okuchi, Sachi; Imai, Rimika; Kondo, Hiroki; Saga, Tsuneo; Nakamoto, Yuji

Thin-slice reverse encoding distortion correction DWI facilitates visualization of non-functioning pituitary neuroendocrine tumor (PitNET)/pituitary adenoma and surrounding normal structures

薄层反向编码畸变校正弥散加权成像(DWI)有助于显示无功能性垂体神经内分泌肿瘤(PitNET)/垂体腺瘤及其周围正常结构。

Ito, Shuichi; Okuchi, Sachi; Fushimi, Yasutaka; Otani, Sayo; Wicaksono, Krishna Pandu; Sakata, Akihiko; Miyake, Kanae Kawai; Numamoto, Hitomi; Nakajima, Satoshi; Tagawa, Hiroshi; Tanji, Masahiro; Sano, Noritaka; Kondo, Hiroki; Imai, Rimika; Saga, Tsuneo; Fujimoto, Koji; Arakawa, Yoshiki; Nakamoto, Yuji

Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance

基于深度学习的去噪重建方法在神经黑色素敏感磁共振成像中的应用:图像质量和诊断性能

Oshima, Sonoko; Fushimi, Yasutaka; Miyake, Kanae Kawai; Nakajima, Satoshi; Sakata, Akihiko; Okuchi, Sachi; Hinoda, Takuya; Otani, Sayo; Numamoto, Hitomi; Fujimoto, Koji; Shima, Atsushi; Nambu, Masahito; Sawamoto, Nobukatsu; Takahashi, Ryosuke; Ueno, Kentaro; Saga, Tsuneo; Nakamoto, Yuji

Mating Types of Ustilago esculenta Infecting Zizania latifolia Cultivars in Japan Are Biased towards MAT-2 and MAT-3

侵染日本菰花栽培品种的黑粉菌(Ustilago esculenta)交配型主要为MAT-2和MAT-3。

Chigira, Yuka; Sasaki, Nobumitsu; Komatsu, Ken; Mashimo, Kouji; Tanaka, Shigeyuki; Numamoto, Minori; Moriyama, Hiromitsu; Motobayashi, Takashi

Diagnostic advantage of thin slice 2D MRI and multiplanar reconstruction of the knee joint using deep learning based denoising approach

基于深度学习去噪方法的薄层二维磁共振成像和膝关节多平面重建的诊断优势

Kakigi, Takahide; Sakamoto, Ryo; Tagawa, Hiroshi; Kuriyama, Shinichi; Goto, Yoshihito; Nambu, Masahito; Sagawa, Hajime; Numamoto, Hitomi; Miyake, Kanae Kawai; Saga, Tsuneo; Matsuda, Shuichi; Nakamoto, Yuji

Deep Learning-based Noise Reduction for Fast Volume Diffusion Tensor Imaging: Assessing the Noise Reduction Effect and Reliability of Diffusion Metrics

基于深度学习的快速体积扩散张量成像噪声抑制:评估噪声抑制效果和扩散指标的可靠性

Sagawa, Hajime; Fushimi, Yasutaka; Nakajima, Satoshi; Fujimoto, Koji; Miyake, Kanae Kawai; Numamoto, Hitomi; Koizumi, Koji; Nambu, Masahito; Kataoka, Hiroharu; Nakamoto, Yuji; Saga, Tsuneo