Details of the Researcher

PHOTO

Yuki Ichinoseki
Section
Graduate School of Medicine
Job title
Assistant Professor
Degree

  • Ph.D. (Tohoku University)

Research History 2

  • 2023/09 - Present
    Tohoku University　Graduate School of Medicine Health Sciences

  • 2016/04 - 2023/08
    Tohoku University Hospital　Department of Radiology　Radiological Technologist

Education 3

  • Tohoku University　Graduate School of Medicine　Health Sciences

    2013/04 - 2016/03

  • Tohoku University　Graduate School of Medicine　Health Sciences

    2011/04 - 2013/03

  • Tohoku University　Faculty of Medicine　School of Health Sciences, School of Medicine

    2007/04 - 2011/03

Awards 3

  1. Academic Encouragement Award

    2017/10　Relation between one- and two-dimensional noise power spectra of magnetic resonance images

  2. The 71th Scientific Assembly of the JSRT, "Silver Award"

    2015/04　Study of Image Quality Improvement in MRI Using a Total Variation

  3. 100th Scientific Assembly and Annual Meeting Award ''Certificate of Merit''

    2014/11　RSNA　Evaluating Image Quality of Compressed Sensing MRI Aiming at Clinical Applications

Papers 8

  1. Improvement in Image Quality and Efficiency of Non-contrast Thoracic MR Angiography: Comparison of a Highly Accelerated Dixon-based Technique with the Conventional Fat-suppressed Technique.

    Jingyi Xing, Satoshi Higuchi, Ryuichi Mori, Yuki Ichinoseki, Yoshiaki Komori, Akihiro Manabe, Daniel Giese, Michaela Schmidt, Hiroki Kamada, Hidenobu Takagi, Kei Takase, Hideki Ota

    Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine　2026/04/22

    DOI： 10.2463/mrms.mp.2025-0164 　

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    PURPOSE: To compare the image quality and acquisition time of thoracic great vessels using a novel, 3D isotropic non-contrast-enhanced MR angiography that combines respiratory compensation, electrocardiogram-triggering, compressed sensing, and Dixon water-fat separation at 3T (CS-MRA) to a conventional MRA employing parallel imaging and spectral attenuated inversion recovery (cMRA). METHODS: This study included 20 healthy volunteers and 19 patients with thoracic vascular diseases. All scans were performed on a 3T MRI scanner using a T2-prepared 3D fast low angle shot (FLASH) sequence. Visual image quality of thoracic great vessels was assessed using a 4-point scale. Quantitative parameters including SNR, contrast-to-noise ratio (CNR), contrast ratio (CR), and coefficient of variation (CV) were evaluated. Aortic diameters were measured, and reproducibility was assessed using Bland-Altman analysis and the intraclass correlation coefficient (ICC). Image acquisition times were also compared. RESULTS: Visual assessment demonstrated significantly higher scores with CS-MRA compared to cMRA across all evaluated thoracic vessels in both volunteers and patients (median score: 3 vs. 2, P < 0.05). Quantitative analysis showed that CS-MRA yielded significantly higher SNR, CNR, and CR (P < 0.05 for all), along with better signal homogeneity (lower CV). CS-MRA showed excellent intra- and inter-observer agreement for aortic diameter measurements, with ICCs ≥ 0.91 in volunteers and ≥ 0.95 in patients. CS-MRA also achieved significantly shorter acquisition times (volunteers: 5.3 ± 1.4 min vs. 6.0 ± 1.7 min, P < 0.01; patients: 5.1 [4.6-6.3] min vs. 6.9 [5.0-9.6] min, P < 0.01). CONCLUSION: CS-MRA provides superior image quality, comparable measurement reproducibility, and significantly reduced acquisition times compared to cMRA. These findings support the clinical utility of CS-MRA as an efficient and reliable non-contrast technique for thoracic vascular evaluation.

  2. Quantifying Parameter Estimation Difficulty of dMRI Models by Submanifold Geometry in Signal Space

    Yoshitaka Masutani, Kousei Konya, Yuki Ichinoseki

    COMPUTATIONAL DIFFUSION MRI, CDMRI 2025　16205　57-68　2026

    DOI： 10.1007/978-3-032-12837-9_6 　

    ISSN： 0302-9743

    eISSN： 1611-3349

  3. Synthetic X-Q space learning for diffusion MRI parameter estimation: a pilot study in breast DKI. International-journal

    Yoshitaka Masutani, Kousei Konya, Erina Kato, Naoko Mori, Hideki Ota, Shunji Mugikura, Kei Takase, Yuki Ichinoseki

    International journal of computer assisted radiology and surgery　20　(12)　2423-2435　2025/12

    DOI： 10.1007/s11548-025-03550-7 　

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    PURPOSE: For diffusion MRI (dMRI) parameter estimation, machine-learning approaches have shown promising results so far including the synthetic Q-space learning (synQSL) based on regressor training with only synthetic data. In this study, we aimed at the development of a new method named synthetic X-Q space learning (synXQSL) to improve robustness and investigated the basic characteristics. METHODS: For training data, local parameter patterns of 3 × 3 voxels were synthesized by a linear combination of six bases, in which parameters are estimated at the center voxel. We prepared three types of local patterns by choosing the number of bases: flat, linear and quadratic. Then, at each location of 3 × 3 voxels, signal values of the diffusion-weighted image were computed by the signal model equation for diffusional kurtosis imaging and Rician noise simulation. The multi-layer perceptron was used for parameter estimation and was trained for each parameter with various noise levels. The level is controlled by a noise ratio defined as a fraction of the standard deviation in the Rician noise distribution normalized by the average b = 0 signal values. Experiments for visual and quantitative validation were performed with synthetic data, a digital phantom and clinical breast datasets in comparison with the previous methods. RESULTS: By using synthetic datasets, synXQSL outperformed synQSL in the parameter estimation of noisy data sets. Through the digital phantom experiments, the combination of synXQSL bases yields different results and a quadratic pattern could be the reasonable choice. The clinical data experiments indicate that synXQSL suppresses noises in estimated parameter maps and consequently brings higher contrast. CONCLUSION: The basic characteristics of synXQSL were investigated by using various types of datasets. The results indicate that synXQSL with the appropriate choice of bases in training data synthesis has the potential to improve dMRI parameters in noisy datasets.

  4. Identification of Adamkiewicz artery by 4D flow MRI and intra-arterial ultra-high-resolution CT angiography in preoperative assessment of patients with chronic aortic dissection: A case report

    Satoshi Higuchi, Yuta Sato, Hideki Ota, Ryuichi Mori, Yuki Ichinoseki, Hitoshi Nemoto, Shingo Kayano, Kiichiro Kumagai, Yoshikatsu Saiki, Kei Takase

    Radiology Case Reports　20　(3)　1581-1585　2025/03

    Publisher: Elsevier BV

    DOI： 10.1016/j.radcr.2024.12.001 　

    ISSN： 1930-0433

  5. Relation between one- and two-dimensional noise power spectra of magnetic resonance images.

    Yuki Ichinoseki, Yoshio Machida

    Radiological physics and technology　10　(2)　161-170　2017/06

    DOI： 10.1007/s12194-016-0380-3 　

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    Our purpose in this study was to elucidate the relation between the one-dimensional (1D) and two-dimensional (2D) noise power spectra (NPSs) in magnetic resonance imaging (MRI). We measured the 1D NPSs using the slit method and the radial frequency method. In the slit method, numerical slits 1 pixel wide and L pixels long were placed on a noise image (128 × 128 pixels) and scanned in the MR image domain. We obtained the 1D NPS using the slit method (1D NPS_Slit) and the 2D NPS of the noise region scanned by the slit (2D NPS_Slit). We also obtained 1D NPS using the radial frequency method (1D NPS_Radial) by averaging the NPS values on the circumference of a circle centered at the origin of the original 2D NPS. The properties of the 1D NPS_Slits varied with L and the scanning direction in PROPELLER MRI. The 2D NPS_Slit shapes matched that of the original 2D NPS, but were compressed by L/128. The central line profiles of the 2D NPS_Slits and the 1D NPS_Slits matched exactly. Therefore, the 1D NPS_Slits reflected not only the NPS values on the central axis of the original 2D NPS, but also the NPS values around the central axis. Moreover, the measurement precisions of the 1D NPS_Slits were lower than those of the 1D NPS_Radial. Consequently, it is necessary to select the approach applied for 1D NPS measurements according to the data acquisition method and the purpose of the noise evaluation.

  6. プロペラMR画像の一次元ノイズパワースペクトル計測

    一関 雄輝, 宮本 宏太, 齋藤 俊輝, 森 一生, 町田 好男

    MEDICAL IMAGING TECHNOLOGY　33　(5)　217-222　2015/11

    Publisher: (一社)日本医用画像工学会

    ISSN： 0288-450X

  7. [Evaluation of Vessel Depictability in Compressed Sensing MR Angiography Using Numerical Phantom Model].

    Toshiki Saito, Yoshio Machida, Kota Miyamoto, Yuki Ichinoseki

    Nihon Hoshasen Gijutsu Gakkai zasshi　71　(11)　1080-9　2015/11

    DOI： 10.6009/jjrt.2015_JSRT_71.11.1080 　

    ISSN： 0369-4305

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    As an acceleration technique for use with magnetic resonance imaging (MRI), compressed sensing MRI (CSMRI) was introduced recently to obtain MR images from under sampled k-space data. Images generated using a nonlinear iterative procedure based on sophisticated theory in informatics using data sparsity have complicated characteristics. Therefore, the factors affecting image quality (IQ) in CS-MRI must be elucidated. This article specifically describes the examination of the IQ of clinically important MR angiography (MRA). For MRA, the depictability of thin blood vessels is extremely important, but quantitative evaluation of thin blood vessel depictability is difficult. Therefore, we conducted numerical experiments using a simple numerical phantom model mimicking the cerebral arteries so that the experimental conditions, including the thin vessel positions, can be given. Results show that vessel depictability changed depending on the noise intensity when the wavelet transform was used as the sparsifying transform. Decreased vessel depictability might present difficulties at the clinical signal-to-noise ratio (SNR) level. Therefore, selecting data acquisition and reconstruction conditions carefully in terms of the SNR is crucially important for CS-MRI study.

  8. Noise Power Spectrum in PROPELLER MR Imaging.

    Yuki Ichinoseki, Tatsuo Nagasaka, Kota Miyamoto, Hajime Tamura, Issei Mori, Yoshio Machida

    Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine　14　(3)　235-42　2015

    DOI： 10.2463/mrms.2014-0071 　

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    The noise power spectrum (NPS), an index for noise evaluation, represents the frequency characteristics of image noise. We measured the NPS in PROPELLER (Periodically Rotated Overlapping ParallEL Lines with Enhanced Reconstruction) magnetic resonance (MR) imaging, a nonuniform data sampling technique, as an initial study for practical MR image evaluation using the NPS. The 2-dimensional (2D) NPS reflected the k-space sampling density and showed agreement with the shape of the k-space trajectory as expected theoretically. Additionally, the 2D NPS allowed visualization of a part of the image reconstruction process, such as filtering and motion correction.

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Misc. 33

  1. 振戦治療の守・破・離(1) Tract-based targetingによるMRgFUS-ETを施行した25例の定量的画像解析

    森末 良彦, 北澤 徹也, 仁村 太郎, 増谷 佳孝, 一関 雄輝, 遠藤 英徳

    日本定位・機能神経外科学会プログラム・抄録集　65回　86-86　2026/01

    Publisher: (一社)日本定位・機能神経外科学会

  2. Navigator echoによる横隔膜同期を併用した高速冠動脈MRAシーケンスの有用性の検討

    幸田昂樹, 森隆一, 根本整, 永坂竜男, 一関雄輝, 高木英誠, 大田英揮

    日本放射線技術学会東北支部雑誌(Web)　(33)　2024

  3. Parameter Inference for Diffusional Kurtosis Imaging by Synthetic X-Q Space Learning

    増谷佳孝, 一関雄輝, 紺谷昂生

    日本医用画像工学会大会予稿集(CD-ROM)　43rd　252-253　2024

    Publisher: (一社)日本医用画像工学会

    ISSN： 0288-450X

  4. Latest Research Trends 2023: neurobrain area and diffusion MRI

    増谷佳孝, 一関雄輝

    電子情報通信学会技術研究報告(Web)　123　(411(MI2023 30-89))　2024

    ISSN： 2432-6380

  5. 位相エンコード方向反転を利用した画像歪み低減法併用DWIの画質評価

    宮原修人, 森隆一, 一関雄輝, 根本整, 永坂竜男

    日本放射線技術学会東北支部雑誌(Web)　(32)　2023

  6. Noise Power Spectra of Various Nonlinear Filtered Magnetic Resonance Images Peer-reviewed

    会田健人, 会田健人, 宮本宏太, 一関雄輝, 町田好男

    東北大学医学部保健学科紀要(Web)　29　(1)　49-56　2020/01

    Publisher: 東北大学医学部保健学科

    ISSN： 1348-8899

  7. －日本放射線技術学会東北支部学術奨励賞－Relation between one- and two-dimensional noise power spectra of magnetic resonance images

    一関雄輝

    東北医学雑誌　131　(1)　79-79　2019/06

  8. 蛍光ガラス線量計を用いたIGRTにおける被曝線量測定

    佐藤 尚志, 佐藤 清和, 佐久間 政志, 一関 雄輝, 坂本 博

    日本放射線技術学会東北支部雑誌　(28)　213-214　2019/01

    Publisher: (公社)日本放射線技術学会-東北支部

  9. MRIにおける異なる非線形フィルタ処理後のNPSの比較

    会田 健人, 宮本 宏太, 一関 雄輝, 町田 好男

    日本医用画像工学会大会予稿集　36回　165-169　2017/07

    Publisher: (一社)日本医用画像工学会

    ISSN： 0288-450X

  10. 当院でのCT造影検査同意書の問診項目における記載漏れの現状と分析

    小野 勝範, 高野 博和, 一関 雄輝

    日本放射線技術学会総会学術大会予稿集　73回　193-194　2017/03

    Publisher: (公社)日本放射線技術学会

    ISSN： 1884-7846

  11. MRIにおける異なる非線形フィルタ特性のNPSによる評価

    会田 健人, 宮本 宏太, 一関 雄輝, 町田 好男

    日本放射線技術学会総会学術大会予稿集　73回　211-212　2017/03

    Publisher: (公社)日本放射線技術学会

    ISSN： 1884-7846

  12. MRIにおけるMTF計測精度向上の検討 日本放射線技術学会東北支部研究助成最終報告

    吉田 礼, 引地 健生, 町田 好男, 永坂 竜男, 一関 雄輝, 曽根 理

    日本放射線技術学会東北支部雑誌　(26)　np1-np3　2017/01

    Publisher: (公社)日本放射線技術学会-東北支部

  13. MRIにおける非線形フィルタ効果の対象画像依存性のNPSによる評価

    会田 健人, 宮本 宏太, 一関 雄輝, 町田 好男

    日本放射線技術学会雑誌　72　(9)　823-823　2016/09

    Publisher: (公社)日本放射線技術学会

    ISSN： 0369-4305

    eISSN： 1881-4883

  14. Erratum

    Saito Toshiki, Machida Yoshio, Miyamoto Kota, Ichinoseki Yuki

    Japanese Journal of Radiological Technology　72　(5)　455-455　2016

    Publisher: Japanese Society of Radiological Technology

    DOI： 10.6009/jjrt.2016_jsrt_72.5.455 　 10.6009/jjrt.2015_jsrt_71.11.1080 　 10.6009/jjrt.780116_references_DOI_Pwa9AEKk0QFfM7TzjncS4r8QFyb 　 10.6009/jjrt.2022-1266_references_DOI_Pwa9AEKk0QFfM7TzjncS4r8QFyb 　

    ISSN： 0369-4305

    eISSN： 1881-4883

    More details Close

    As an acceleration technique for use with magnetic resonance imaging (MRI), compressed sensing MRI (CSMRI) was introduced recently to obtain MR images from undersampled k-space data. Images generated using a nonlinear iterative procedure based on sophisticated theory in informatics using data sparsity have complicated characteristics. Therefore, the factors affecting image quality (IQ) in CS-MRI must be elucidated. This article specifically describes the examination of the IQ of clinically important MR angiography (MRA). For MRA, the depictability of thin blood vessels is extremely important, but quantitative evaluation of thin blood vessel depictability is difficult. Therefore, we conducted numerical experiments using a simple numerical phantom model mimicking the cerebral arteries so that the experimental conditions, including the thin vessel positions, can be given. Results show that vessel depictability changed depending on the noise intensity when the wavelet transform was used as the sparsifying transform. Decreased vessel depictability might present difficulties at the clinical signal-to-noise ratio (SNR) level. Therefore, selecting data acquisition and reconstruction conditions carefully in terms of the SNR is crucially important for CS-MRI study.

  15. MRIにおけるMTF計測精度向上の検討 日本放射線技術学会東北支部研究助成中間報告

    吉田 礼, 町田 好男, 引地 健生, 永坂 竜男, 一関 雄輝, 曽根 理

    日本放射線技術学会東北支部雑誌　(25)　10-10　2016/01

    Publisher: (公社)日本放射線技術学会-東北支部

  16. MRとCTにおけるTotal Variationのノイズ低減効果の比較

    三浦 洋亮, 船崎 亮佑, 立石 敏樹, 一関 雄輝

    日本放射線技術学会総会学術大会予稿集　71回　170-170　2015/02

    Publisher: (公社)日本放射線技術学会

    ISSN： 1884-7846

  17. MR画像の1次元NPSと2次元NPSの関係性について

    一関 雄輝, 宮本 宏太, 齋藤 俊輝, 永坂 竜男, 森 一生, 町田 好男

    日本放射線技術学会総会学術大会予稿集　71回　171-171　2015/02

    Publisher: (公社)日本放射線技術学会

    ISSN： 1884-7846

  18. MRI頭部画像に対する非線形フィルタ効果のNPSによる評価

    宮本 宏太, 一関 雄輝, 齋藤 俊輝, 永坂 竜男, 森 一生, 町田 好男

    日本放射線技術学会総会学術大会予稿集　71回　171-172　2015/02

    Publisher: (公社)日本放射線技術学会

    ISSN： 1884-7846

  19. One-dimensional Noise Power Spectrum Measurement in PROPELLER MR Imaging

    一関雄輝, 宮本宏太, 齋藤俊輝, 森一生, 町田好男

    Medical Imaging Technology (Web)　33　(5)　2015

    ISSN： 2185-3193

  20. MRIにおけるTotal Variation法の基礎的検討

    三浦 洋亮, 船崎 亮佑, 立石 敏樹, 一関 雄輝

    日本放射線技術学会東北部会雑誌　(24)　145-145　2015/01

    Publisher: (公社)日本放射線技術学会-東北支部

  21. Total Variation法を用いたMRIにおける画質改善の検討

    船崎 亮佑, 立石 敏樹, 三浦 洋亮, 井土川 敦子, 成田 大輔, 一関 雄輝

    日本放射線技術学会東北部会雑誌　(24)　146-146　2015/01

    Publisher: (公社)日本放射線技術学会-東北支部

  22. MR画像の1次元NPS計測

    一関 雄輝, 宮本 宏太, 齋藤 俊輝, 永坂 竜男, 森 一生, 町田 好男

    MEDICAL IMAGING TECHNOLOGY　32　(Suppl.)　1-7　2014/07

    Publisher: (一社)日本医用画像工学会

    ISSN： 0288-450X

  23. 圧縮センシングを用いた差分MRアンギオグラフィーの初期検討

    齋藤 俊輝, 一関 雄輝, 永坂 竜男, 町田 好男

    日本放射線技術学会総会学術大会予稿集　70回　159-159　2014/02

    Publisher: (公社)日本放射線技術学会

    ISSN： 1884-7846

  24. MR画像の背景ノイズを用いたNPS計測とその特性に関する検討

    宮本 宏太, 一関 雄輝, 永坂 竜男, 森 一生, 町田 好男

    日本放射線技術学会総会学術大会予稿集　70回　237-238　2014/02

    Publisher: (公社)日本放射線技術学会

    ISSN： 1884-7846

  25. 背景ノイズを用いたMR画像のNPS計測

    宮本 宏太, 一関 雄輝, 齋藤 俊輝, 森 一生, 町田 好男, 永坂 竜男

    日本放射線技術学会東北部会雑誌　(23)　204-204　2014/01

    Publisher: (公社)日本放射線技術学会-東北支部

  26. 圧縮センシングMR画像の画質特性に関する初期検討

    齋藤 俊輝, 一関 雄輝, 宮本 宏太, 町田 好男, 永坂 竜男

    日本放射線技術学会東北部会雑誌　(23)　207-207　2014/01

    Publisher: (公社)日本放射線技術学会-東北支部

  27. MR画像のNPS計測の実用化に向けた課題の検討

    一関 雄輝, 宮本 宏太, 齋藤 俊輝, 永坂 竜男, 森 一生, 町田 好男

    MEDICAL IMAGING TECHNOLOGY　31　(Suppl.)　1-6　2013/08

    Publisher: (一社)日本医用画像工学会

    ISSN： 0288-450X

  28. 圧縮センシングMR画像の画質に関する初期検討

    齋藤 俊輝, 一関 雄輝, 町田 好男

    日本放射線技術学会総会学術大会予稿集　69回　197-197　2013/02

    Publisher: (公社)日本放射線技術学会

    ISSN： 1884-7846

  29. MRI画像のNPS計測の実用化に向けた基礎的検討

    宮本 宏太, 一関 雄輝, 石田 俊太郎, 伊藤 健, 永坂 竜男, 森 一生, 町田 好男

    日本放射線技術学会総会学術大会予稿集　69回　238-238　2013/02

    Publisher: (公社)日本放射線技術学会

    ISSN： 1884-7846

  30. MRの画像特性-JRC2012に参加して

    一関 雄輝

    日本放射線技術學會雜誌　68　(8)　1082-1083　2012/08/20

    ISSN： 0369-4305

  31. さまざまなk空間データ収集法におけるMRI画像のNPSの検討

    一関 雄輝, 後藤 麻衣, 佐藤 弘教, 鈴木 雄輝, 辻井 麻里, 永坂 竜男, 町田 好男

    日本放射線技術学会総会学術大会予稿集　68回　123-123　2012/02

    Publisher: (公社)日本放射線技術学会

    ISSN： 1884-7846

  32. スライスプロファイル法による3D撮像の解像特性の検討

    吉田 礼, 一関 雄輝, 小倉 隆英, 田村 元, 森 一生, 引地 健生, 町田 好男

    日本放射線技術学会総会学術大会予稿集　68回　257-257　2012/02

    Publisher: (公社)日本放射線技術学会

    ISSN： 1884-7846

  33. 低磁場MRI装置における緩和時間温度依存性

    臼井 章仁, 古川 修人, 前道 智也, 一関 雄輝, 高橋 一広, 齋藤 春夫, 町田 好男

    日本放射線技術学会総会学術大会予稿集　67回　246-246　2011/02

    Publisher: (公社)日本放射線技術学会

    ISSN： 1884-7846

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Presentations 1

  1. 拡散強調画像の基礎

    一関雄輝

    第84回日本医学放射線学会総会 研修医セミナー3 MR物理入門　2025/04/13

Research Projects 3

  1. Reliability assessment and new estimation methods for biological features based on diffusion MRI

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research

    Category: Grant-in-Aid for Scientific Research (B)

    Institution: Tohoku University

    2025/04/01 - 2030/03/31

  2. 拡散ＭＲＩパラメタ推定のための生成型Q空間学習における雑音量の最適化に関する研究

    一関 雄輝

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業

    Category: 若手研究

    Institution: 東北大学

    2025/04/01 - 2029/03/31

  3. CTEPHを対象とした呼吸・循環の包括的評価を行う非造影one-stop shop MRIの開発

    大田 英揮, 矢尾板 信裕, 増谷 佳孝, 佐藤 大樹, 一関 雄輝

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業

    Category: 基盤研究(C)

    Institution: 東北大学

    2024/04/01 - 2028/03/31