Alpha 2.0
Login Register
» Authors » Masami Yoneyama

Masami Yoneyama

Explore the profile of Masami Yoneyama including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 93
Citations 411
Followers 0
Related Specialties
Radiology
Biotechnology
Biophysics
Top 10 Co-Authors
Makoto Obara
Osamu Togao
Masanobu Nakamura
Hiroshi Honda
Kohsuke Kudo
Noriyuki Fujima
Kazufumi Kikuchi
Marc Van Cauteren
Takayuki Sakai
Koji Yamashita
Published In
Magn Reson Imaging
Magn Reson Med Sci
Eur J Radiol
Radiol Phys Technol
J Magn Reson Imaging
Affiliations
Soon will be listed here.
Recent Articles
1.
Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imaging
Fujima N, Shimizu Y, Ikebe Y, Kameda H, Harada T, Tsushima N, et al.
Jpn J Radiol . 2025 Mar; PMID: 40038217
Purpose: To assess the utility of dual-type deep learning (DL)-based image reconstruction with DL-based image denoising and super-resolution processing by comparing images reconstructed with the conventional method in head and...
2.
New non-contrast MRI of endolymphatic hydrops in Ménière's disease considering inversion time
Ishii M, Tanaka H, Asai R, Kanai Y, Kato Y, Ito Y, et al.
Laryngoscope Investig Otolaryngol . 2024 Aug; 9(4):e1314. PMID: 39130211
Objectives: Three-tesla MRI with gadolinium-based contrast agents is important in diagnosing Ménière's disease. However, contrast agents cannot be used in some patients. By using the compositional difference between the inner...
3.
Enhancing the image quality of prostate diffusion-weighted imaging in patients with prostate cancer through model-based deep learning reconstruction
Nishioka N, Fujima N, Tsuneta S, Yoshikawa M, Kimura R, Sakamoto K, et al.
Eur J Radiol Open . 2024 Jul; 13:100588. PMID: 39070063
Purpose: To evaluate the utility of model-based deep learning reconstruction in prostate diffusion-weighted imaging (DWI). Methods: This retrospective study evaluated two prostate diffusion-weighted imaging (DWI) methods: deep learning reconstruction (DL-DWI)...
4.
High Resolution TOF-MRA Using Compressed Sensing-based Deep Learning Image Reconstruction for the Visualization of Lenticulostriate Arteries: A Preliminary Study
Hirano Y, Fujima N, Kameda H, Ishizaka K, Kwon J, Yoneyama M, et al.
Magn Reson Med Sci . 2024 Jul; PMID: 39034144
Purpose: To investigate the visibility of the lenticulostriate arteries (LSAs) in time-of-flight (TOF)-MR angiography (MRA) using compressed sensing (CS)-based deep learning (DL) image reconstruction by comparing its image quality with...
5.
Clinical evaluation of 3D high-resolution isotropic knee MRI using Multi-Interleaved X-prepared TSE with inTUitive RElaxometry (MIXTURE) for simultaneous morphology and T2 mapping
Sakai T, Yoneyama M, Zhang S, Kitsukawa K, Yokota H, Ichikawa R, et al.
Eur J Radiol . 2024 Jun; 177:111579. PMID: 38897053
Purpose: Quantitative MRI techniques such as T2 mapping are useful in comprehensive evaluation of various pathologies of the knee joint yet require separate scans to conventional morphological measurements and long...
6.
Time-efficient combined morphologic and quantitative joint MRI: an in situ study of standardized knee cartilage defects in human cadaveric specimens
Lemainque T, Pridohl N, Zhang S, Huppertz M, Post M, Yuksel C, et al.
Eur Radiol Exp . 2024 Jun; 8(1):66. PMID: 38834751
Background: Quantitative techniques such as T2 and T1ρ mapping allow evaluating the cartilage and meniscus. We evaluated multi-interleaved X-prepared turbo-spin echo with intuitive relaxometry (MIXTURE) sequences with turbo spin-echo (TSE)...
7.
Two for One-Combined Morphologic and Quantitative Knee Joint MRI Using a Versatile Turbo Spin-Echo Platform
Lemainque T, Pridohl N, Huppertz M, Post M, Yuksel C, Siepmann R, et al.
Diagnostics (Basel) . 2024 May; 14(10). PMID: 38786276
Quantitative MRI techniques such as T2 and T1ρ mapping are beneficial in evaluating knee joint pathologies; however, long acquisition times limit their clinical adoption. MIXTURE (Multi-Interleaved X-prepared Turbo Spin-Echo with...
8.
A novel simultaneous three-dimensional volumetric morphological imaging and T2-mapping method, multi-interleaved X-prepared turbo-spin echo with intuitive relaxometry provides more accurate quantification of cervical spinal nerves
Tokeshi S, Eguchi Y, Sakai T, Yoneyama M, Watanabe A, Aoki Y, et al.
J Clin Neurosci . 2024 May; 125:97-103. PMID: 38761535
Purpose: MIXTURE is a simultaneous morphological and quantitative imaging sequence developed by Philips that provides high-resolution T2 maps from the imaged series. We aimed to compare the T2 maps of...
9.
Reduction of ADC bias in diffusion MRI with deep learning-based acceleration: A phantom validation study at 3.0 T
Lemainque T, Yoneyama M, Morsch C, Iordanishvili E, Barabasch A, Schulze-Hagen M, et al.
Magn Reson Imaging . 2024 Apr; 110:96-103. PMID: 38631532
Purpose: Further acceleration of DWI in diagnostic radiology is desired but challenging mainly due to low SNR in high b-value images and associated bias in quantitative ADC values. Deep learning-based...
10.
Comparison of Echo-Planar Imaging and Compressed Sensing in the Estimation of Flow Metrics from Aortic 4D Flow MR Imaging: A Healthy Volunteer Study
Aono S, Tsuneta S, Nishioka N, Aoike T, Hirayama H, Ishizaka K, et al.
Magn Reson Med Sci . 2024 Mar; PMID: 38556273
Purpose: Prolonged scanning of time-resolved 3D phase-contrast MRI (4D flow MRI) limits its routine use in clinical practice. An echo-planar imaging (EPI)-based sequence and compressed sensing can reduce the scan...