研究業績

研究業績

2020年度業績

著書

英文著書

  1. Ohno Y,Koyama H,Murayama K,Yoshikawa T: Functional Assessment of Lung Cancer and Nodule. Pulmonary Functional Imaging. Ohno Y,Hatabu H,Kauczor HU (eds.),Springer Nature Switzerland AG,Cham,Switzerland,pp.259-297,2020.
  2. Ohno Y,Hatabu H: Future of Pulmonary Functional Imaging. Pulmonary Functional Imaging. Ohno Y,Hatabu H,Kauczor HU (eds.),Springer Nature Switzerland AG,Cham,Switzerland,pp.337-360,2020.

和文著書

  1. 大野良治. IV 検査 7 胸部X線検査法 E. 胸部MRI Chest Magnetic Resonance Imaging (chest MRI): 新呼吸器専門医テキスト【改訂第2版】. 呼吸器学会（編）南江堂,東京,pp93-96,2020.
  2. 大野良治. VI その他の臓器　①肺におけるMRIの意義: MRI応用自由自在 第4版.堀 正明,本杉宇太郎（編）,高原太郎（監）,Medical View,東京,pp457-458.
  3. 大野良治. VI その他の臓器　②肺癌の描出: MRI応用自由自在 第4版.堀　正明,本杉宇太郎（編）,高原太郎（監）,Medical View,東京,pp459-462.
  4. 村山和宏,山本有香. 第2章 モダリティ編 01 CT,頭部画像診断の勘ドコロNEO,田岡俊昭（編集）,Medical View,東京,pp16-31.
  5. 村山和宏,山本有香,永田紘之. 技術編 01 CT,頭頚部画像診断の勘ドコロNEO,浮洲龍太郎（編集）,Medical View,東京,pp2-19.

原著論文

英文著書

  1. Yamashiro K,Muto J,Wakako A,Murayama K,Kojima D,Omi T,Adachi K,Hasegawa M,Hirose Y. Diploic veins as collateral venous pathways in patients with dural venous sinus invasion by meningiomas. Acta Neurochir (Wien). 2021 Jun;163(6):1687-1696.
  2. Yamada S,Muto J,De Leon JCA,Kumai T,Ito K,Murayama K,Hama N,Nakano Y,Satomi K,Arai Y,Shibata T,Inoue T,Nobusawa S,Ichimura K,Hirose Y,Abe M. Primary spinal intramedullary Ewing-like sarcoma harboring CIC-DUX4 translocation: a similar cytological appearance as its soft tissue counterpart but no lobulation in association with desmoplastic stroma. Brain Tumor Pathol. 2020 Jul;37(3):111-117.
  3. Ohba S,Murayama K,Kuwahara K,Pareira ES,Nakae S,Nishiyama Y,Adachi K,Yamada S,Sasaki H,Yamamoto N,Abe M,Mukherjee J,Hasegawa M,Pieper RO,Hirose Y. The Correlation of Fluorescence of Protoporphyrinogen IX and Status of Isocitrate Dehydrogenase in Gliomas. Neurosurgery. 2020 Aug 1;87(2):408-417.
  4. Ohno Y,Aoyagi K,Yaguchi A,Seki S,Ueno Y,Kishida Y,Takenaka D,Yoshikawa T. Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT. Radiology. 2020 Aug;296(2):432-443.
  5. Teranishi T,Ohba S,Kawazoe Y,Adachi K,Murayama K,Yamada S,Abe M,Hasegawa M,Hirose Y. Superficial Siderosis of the Central Nervous System Caused by Glioneuronal Tumor: A Case Report and Literature Review. Neurol India. 2020 Jul-Aug;68(4):894-896.
  6. Ohno Y,Yui M,Yoshikawa T,Seki S,Takenaka D,Kassai Y,Hattori H,Murayama K,Toyama H. 3D Oxygen-Enhanced MRI at 3T MR System: Comparison With Thin-Section CT of Quantitative Capability for Pulmonary Functional Loss Assessment and Clinical Stage Classification of COPD in Smokers. J Magn Reson Imaging. 2020 Nov 17.
  7. Ohno Y,Takeshi Y,Takenaka D,Koyama H,Aoyagi K,Yui M. Comparison of Diagnostic Accuracy for TNM Stage Among Whole-Body MRI and Coregistered PET/MRI Using 1.5-T and 3-T MRI Systems and Integrated PET/CT for Non-Small Cell Lung Cancer. AJR Am J Roentgenol. 2020 Nov;215(5):1191-1198.
  8. Harada M,Motoike Y,Nomura Y,Nishimura A,Koshikawa M,Murayama K,Ohno Y,Watanabe E,Ozaki Y,Izawa H. Factors associated with silent cerebral events during atrial fibrillation ablation in patients on uninterrupted oral anticoagulation. J Cardiovasc Electrophysiol. 2020 Nov;31(11):2889-2897.
  9. Adachi K,Murayama K,Hayakawa M,Hasegawa M,Muto J,Nishiyama Y,Ohba S,Hirose Y. Objective and quantitative evaluation of angiographic vascularity in meningioma: parameters of dynamic susceptibility contrast-perfusion-weighted imaging as clinical indicators of preoperative embolization. Neurosurg Rev. 2020 Nov 19. Online ahead of print.
  10. Ohno Y,Aoyagi K,Takenaka D,Yoshikawa T,Ikezaki A,Fujisawa Y,Murayama K,Hattori H,Toyama H. Machine learning for lung CT texture analysis: Improvement of inter-observer agreement for radiological finding classification in patients with pulmonary diseases. Eur J Radiol. 2021 Jan;134:109410.
  11. Ueda T,Ohno Y,Yamamoto K,Iwase A,Fukuba T,Hanamatsu S,Obama Y,Ikeda H,Ikedo M,Yui M,Murayama K,Toyama H. Compressed sensing and deep learning reconstruction for women's pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice. Eur J Radiol. 2021 Jan;134:109430.
  12. Matsukiyo R,Ohno Y,Matsuyama T,Nagata H,Kimata H,Ito Y,Ogawa Y,Murayama K,Kato R,Toyama H. Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutions. Jpn J Radiol. 2021 Feb;39(2):186-197.
  13. Ikeda H,Ohno Y,Murayama K,Yamamoto K,Iwase A,Fukuba T,Toyama H. Compressed sensing and parallel imaging accelerated T2 FSE sequence for head and neck MR imaging: Comparison of its utility in routine clinical practice. Eur J Radiol. 2021 Feb;135:109501.
  14. Ohno Y,Fujisawa Y,Yoshikawa T,Takenaka D,Koyama H,Hattori H,Murayama K,Fujii K,Sugihara N,Toyama H. Inspiratory/expiratory xenon-enhanced area-detector CT: Capability for quantitative assessment of lung ventilation changes in surgically treated non-small cell lung cancer patients. Eur J Radiol. 2021 Mar;136:109574.

総説

英文総説

  1. Hagiwara A,Fujita S,Ohno Y,Aoki S. Variability and Standardization of Quantitative Imaging: Monoparametric to Multiparametric Quantification,Radiomics,and Artificial Intelligence. Invest Radiol. 2020 Sep;55(9):601-616.
  2. Hatabu H,Ohno Y,Gefter WB,Parraga G,Madore B,Lee KS,Altes TA,Lynch DA,Mayo JR,Seo JB,Wild JM,van Beek EJR,Schiebler ML,Kauczor HU; Fleischner Society. Expanding Applications of Pulmonary MRI in the Clinical Evaluation of Lung Disorders: Fleischner Society Position Paper. Radiology. 2020 Nov;297(2):286-301.
  3. Ohno Y,Hanamatsu S,Obama Y,Ueda T,Ikeda H,Hattori H,Murayama K,Toyama H.　Overview of MRI for pulmonary functional imaging. Br J Radiol. 2021 Feb 2:20201053.
  4. Remy-Jardin M,Ryerson CJ,Schiebler ML,Leung ANC,Wild JM,Hoeper MM,Alderson PO,Goodman LR,Mayo J,Haramati LB,Ohno Y,Thistlethwaite P,van Beek EJR,Knight SL,Lynch DA,Rubin GD,Humbert M. Imaging of Pulmonary Hypertension in Adults: A Position Paper from the Fleischner Society. Radiology. 2021 Mar;298(3):531-549.
  5. Remy-Jardin M,Ryerson CJ,Schiebler ML,Leung ANC,Wild JM,Hoeper MM,Alderson PO,Goodman LR,Mayo J,Haramati LB,Ohno Y,Thistlethwaite P,van Beek EJR,Knight SL,Lynch DA,Rubin GD,Humbert M. Imaging of pulmonary hypertension in adults: a position paper from the Fleischner Society. Eur Respir J. 2021 Jan 5;57(1):2004455.

和文総説

  1. 大野良治. 【モダリティ-選択と運用の工夫で勝ち抜く】 経営にも資するモダリティ戦略 藤田医科大学における新たな高速撮像法と人工知能搭載再構成法を用いたMRI診療の革新. 新医療,47巻4号,Page24-27,2020.
  2. 大野良治. Vantage CenturianとGalan 3Tによる 最新3T MR診断　形態から機能/代謝診断に向けて. INNERVISION,35巻7号,Page82-83,2020.
  3. 永田紘之,大野良治,外山 宏,村山和宏. 超高精細CTの画像診断　超高精細CTを用いた中枢神経領域における細動脈の描出と臨床応用. 臨床画像,36巻8号,Page927-930,2020.
  4. 大野良治. 【ホスピタリストのための画像診断-(1)胸部・縦隔編】各論(胸部疾患)　肺の良性腫瘍/悪性腫瘍　画像診断による患者マネジメントへの応用. Hospitalist,8巻2号,Page261-265,2020.

講演

国際学会

  1. Ohno Y. Chest MRI: from Morphology to Function and Metabolism. ASMRM & ICMRI 2020,2020.11.03-04,Online.

国内学会

  1. 大野良治. Vantage CenturianとGalan 3Tによる最新3T MR診断～形態から機能/ 代謝診断に向けて～. 第79回 日本医学放射線学会総会,2020.05.15-06.05,WEB開催.
  2. 大野良治. 肺癌診療における最新CT診断. 第46回肺癌診断会・画像診断セミナー,2020.06.18-20,紙上開催.
  3. 村山和宏. 高精細CTを用いた脳卒中の画像診断. 第45回日本脳卒中学会学術集会,2020.08.23-09.24,Online.
  4. 大野良治. COVID-19肺炎患者の画像診断. 第20回愛知県技師会サマーセミナー,2020,08.29,長久手.
  5. 村山和宏. DLR-MRIで変わる脳神経領域の画像診断. 第48回日本磁気共鳴医学会大会,2020.09.11-10.04,Online.
  6. 村山和宏. 高精細画像と機能画像で迫る脳腫瘍のMRI画像診断. 第25回日本脳腫瘍の外科学会,2020.09.11-12,名古屋,Web併催.
  7. 大野良治. Oxygen-Enhanced MRIとPerfusion MRIによる換気・血流評価. 第60回日本呼吸器学会学術講演会,2020.09.20-22,Online.
  8. 大野良治. 肺癌診療における最新画像診断. 日本放射線腫瘍学会第33回学術集会,2020.10.01-03,Online.
  9. 大野良治. COVID-19肺炎の画像診断における基礎とAI画像解析の現状と将来展望. 第188回医用画像情報学会,2020.10.03,Online.
  10. 植田高弘,大野良治．次世代MRI画像診断に向けた 1.5TDLR-MRIの臨床応用．第56回日本医学放射線学会秋季臨床大会,2020.10.31,Online.
  11. 大野良治. CT を用いた肺癌の最新診療. 第61回日本肺癌学会学術集会,2020.11.12-14,岡山.
  12. 大野良治. COVID-19肺炎に関する画像診断と人工知能の現状と将来展望.第48回日本救急医学会総会・学術集会,2020.11.18-19,岐阜.
  13. 村山和宏. 急性期脳梗塞の画像診断: これだけは知って欲しい５つのポイント. 第43回ART会. 2020.11.27,Web開催.
  14. 村山和宏,大野良治,野村昌彦,木全洋奈,秋野成臣,藤井健二,花松智武,池田裕隆,外山宏. Deep Learning Reconstructionを用いた頭部CTAの画質改善に関する検討. 第50回日本神経放射線学会,2021.02.11-13,大阪,Web併催.
  15. 大野良治. COVID-19肺炎に関する画像診断：読影の基礎から人工知能の最新臨床活用まで. 第121回近畿救急医学研究会,2021.03.20,神戸,Ｗeb併催.

口演発表

国際学会

  1. Ohno Y,Aoyagi K,Kishida Y,Seki S,Ueno Y,Yaguchi A,Yoshikawa T. 3D CADv System with and without CNN: Comparison of Nodule Component Measurement Accuracy and Differentiation in Routine Clinical Practice Data. CARS 2020,2020.06.23-27,Munich.
  2. Ohno Y,Fujisawa Y,Fujii K,Sugihara N,Seki S,Yoshikawa T. Dynamic Perfusion Area-Detector CT (ADCT) vs. FDG-PET/CT: Capability for Therapeutic Outcome Prediction in Small Cell Lung Cancer Patients with Limited Disease. ECR 2020,2020.07.15-20,Online.
  3. Ohno Y,Yui M,Takenaka D,Yoshikawa T. Pulmonary MR Imaging with Ultra-Short Echo Time (UTE): A Comparison of Capabilities for Nodule Detection and Lung-RADS Classification with Low- and Standard-Dose CTs. ECR 2020,2020.07.15-20,Online.
  4. Ohno Y,Aoyagi K,Kishida Y,Seki S,Ueno Y,Yaguchi A,Yoshikawa T. 3D Computer-Aided Volumetry (CADv) System with AI System: Comparison of Quantitative Nodule Component Measurement Accuracy and Pulmonary Nodule Differentiation Capability on Repeated CT Examination. ECR 2020,2020.07.15-20,Online.
  5. Ikeda H,Ohno Y,Murayama K,Yamamoto K,Iwase A,Fukuba T,Tabata D,Ikedo M,Toyama H. Parallel Imaging with and without Compressed Sensing: Utility for Head and Neck MR Imaging in Patients with Different Diseases. ECR 2020,2020.07.15-20,Online.
  6. Ohno Y,Yui M,Yoshikawa T. A Comparison of Capability for Therapeutic Effect Prediction between CEST Imaging and FDG-PET/CT in Non-Small Cell Lung Cancer Patients with Chemoradiotherapy. ECR 2020,2020.07.15-20,Online.
  7. Ohno Y,Yui M,Aoyagi K,Yoshikawa T. A Comparison of Postoperative Recurrence Evaluation among FDG-PET/MRI,Whole-Body MRI,FDG-PET/CT and Conventional Methods in Non-Small Cell Carcinoma Patients. ECR 2020,2020.07.15-20,Online.
  8. Ohno Y,Yui M,Takenaka D,Kassai Y,Murayama K,Yoshikawa T. Comparison of Capability for Therapeutic Effect Prediction between CEST Imaging and FDG-PET/CT in NSCLC Patients with Chemoradiotherapy. ISMRM 2020,2020.08.08-13,Online.
  9. Obama Y,Ohno Y,Yamamoto K,Iwase A,Fukuba A,Ueda T,Murayama K,Toyama H. Compressed Sensing with and without Deep Learning Reconstruction: Comparison of Capability for Improving Lumber Spine MRI with Parallel Imaging. ISMRM & SMRT Virtual Conference and Exhibition 2020.08.08-14. Online.
  10. Ohno Y,Yui M,Takenaka D,Kassai Y,Murayama K,Yoshikawa T. Pulmonary MR Imaging with Ultra-Short TE: Capability of Nodule Detection and Lung RADS Classification for Lung Cancer Screening. ISMRM 2020,2020.08.08-13,Online.
  11. Ohno Y,Yui M,Aoyagi K,Kassai Y,Takenaka D,Murayama K,Yoshikawa T. Which is the Best Method for NSCLC Recurrence Evaluation among MRI,PET/MRI,PET/CT and Standard Examination in Large Prospective Cohort? ISMRM 2020,2020.08.08-13,Online.
  12. Ohno Y,Yui M,Takenaka D,Kassai Y,Murayama K,Yoshikawa T. 3D O2-Enhanced MR Imaging vs. Thin-Section CT: Capability for Pulmonary Functional Loss Assessment and Clinical Stage Classification in Smokers. ISMRM 2020,2020.08.08-13,Online.
  13. Ohno Y,Yui M,Takenaka D,Kassai Y,Murayama K,Yoshikawa T. Computed Diffusion-Weighted Imaging in the Thorax: Determination of Appropriate b Value for Improving N-Stage Assessment in NSCLC Patients. ISMRM 2020,2020.08.08-13,Online.
  14. Ohno Y,Yui M,Takenaka D,Kassai Y,Murayama K,Yoshikawa T. Fast Advanced Spin-Echo vs. Echo-Planar Imaging: DWI at 3T MR System for Postoperative Clinical Outcome Prediction in NSCLC Patients. ISMRM 2020,2020.08.08-13,Online.
  15. Obama Y,Ohno Y,Yamamoto K,Hanamatsu S,Ueda T,Murayama K,Iwase A,Fukuba T,Ikeda H,Ikedo M,Yui M,Toyama H. Newly Developed Deep Learning Reconstruction: Capability for Image Quality Improvement of MRI Obtained by Conventional Parallel Imaging and Compressed Sensing in Patients with Various Shoulder Diseases. 106th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2020),2020.11.29-12.05,Online.
  16. Ohno Y,Yui M,Kassai Y,Yoshikawa T,Takenaka D,Murayama K,Obama Y,Hanamatsu S,Ikeda H,Toyama H. 3D Oxygen-Enhanced MRI Using 3T System vs. Thin-Section CT: Capability for Smoking-Related Pulmonary Functional Loss Assessment and Clinical Stage Classification in Smokers. 106th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2020),2020.11.29-12.05,Online.
  17. Takenaka D,Ohno Y,Yui M,Kassai Y,Yoshikawa T,Murayama K,Shigemura C,Watanabe A,Ueda T,Toyama H. Computed Diffusion-weighted Imaging (cDWI): Which b Value Can Demonstrate Higher N-stage Classification Accuracy than Actual Diffusion-weighted Imaging and FDG-PET/CT in Non-small Cell Lung Cancer? 106th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2020),2020.11.29-12.05,Online.
  18. Ohno Y,Yui M,Yoshikawa T,Takenaka D,Kassai Y,Murayama K,Toyama H. Comparison of Capability for Distinguishing Metastatic from Non-Metastatic Lymph Nodes among Computed DWI (cDWI),Actual DWI (aDWI) and PET/CT in Non-Small Cell Lung Cancer. ECR 2021,2021.03.03-07,Online.

国内学会

  1. Ikezaki A,Aoyagi K,Yaguchi A,Takenaka D,Ohno Y. Development of Automated Classification Technology by Using Machine Learning for Abnormal CT Patterns in Interstitial Lung Disease. 第76回日本放射線技術学会,2020.05.15-06.05,WEB開催.
  2. Ueda T,Ohno Y,Yamamoto K,Iwase A,Fukuba T,Obama Y,Murayama K,Toyama H. Compressed Sensing and Deep Learning Reconstruction for Women’s Pelvic MRI at 3T System: Reducing Examination Time and Improvement of Image Quality. 第48回日本磁気共鳴医学会大会 (JSMRM2020),2020.09.11-10.04,Online.
  3. Ueda T,Ohno Y,Yamamoto K,Iwase A,Fukuba T,Murayama K,Ikedo M,Yui M,Toyama H. Deep Learning Reconstruction for DWI with Different b Values: Improvement of Image Quality and Diagnostic Performance in Prostatic Cancer. 第48回日本磁気共鳴医学会大会 (JSMRM 2020),2020.09.11-10.04,Online.
  4. Ikeda H,Ohno Y,Murayama K,Yamamoto K,Ikedo M,Yui M,Iwase A,Fukuba T,Toyama H. Compressed Sensing vs. Conventional Parallel Imaging: Examination Time Shortening and Image Quality Improvement on Head and Neck MR at 3T System. 第48回日本磁気共鳴医学会大会 (JSMRM 2020),2020.09.11-10.04,Online.
  5. Obama Y,Ohno Y,Yamamoto K,Iwase A,Ueda T,Murayama K,Toyama H. Newly Developed Deep Learning Reconstruction: Capability for Image Quality Improvement of MRI Obtained by Conventional Parallel Imaging and Compressed Sensing in Patients with Various Shoulder Diseases. 第48回日本磁気共鳴医学会大会 (JSMRM 2020),2020.09.11-10.04,Online.
  6. Hanamatsu S,Murayama K,Fukuba T,Iwase A,Sano Y,Yamamoto K,Ninomiya A,Ikedo M,Ohno Y,Toyama H. Deep Learning Reconstruction (DLR): Influence to Image Quality Improvement,ADC Assessment and IVIM Evaluation on Brain DWI. 48回日本磁気共鳴医学会大会 (JSMRM 2020),2020.09.11-10.04,Online.
  7. Matsuyama T,Ohno Y,Yamamoto K,Iwase A,Fukuba T,Murayama K,Ikedo M,Yui M,Toyama H. FAST 3D for MRCP: Comparison of Capability for Image Quality Improvement as Compared with Compressed Sensing and Parallel Imaging. 第48回日本磁気共鳴医学会大会 (JSMRM 2020),2020.09.11-10.04,Online.
  8. Ohno Y,Yui M,Yoshikawa T,Murayama K,Toyama H. Comparison of Capability for Therapeutic Effect Prediction among CEST,DWI and PET/CT in NSCLC Patients with Chemoradiotherapy. 第48回日本磁気共鳴医学会大会 (JSMRM 2020),2020.09.11-10.04,Online.
  9. Murayama K,Ohno Y,Yui M,Yamamoto K,Ikedo M,Hanamatsu S,Iwase A,Fukuba T,Toyama H. 3D Gradient Echo-Based CEST Imaging vs. 2D Spin Echo-Based CEST Imaging: Capability for Molecular-Based Assessment in Various Brain Tumor Patients. 第48回日本磁気共鳴医学会大会 (JSMRM 2020),2020.09.11-10.04,Online.
  10. Ohno Y,Yui M,Yoshikawa T,Murayama K,Toyama H. MR Imaging with Ultra-Short TE: Comparison of Capability for Lung Nodule Detection and Assessment with Low-Dose CT. 第48回日本磁気共鳴医学会大会 (JSMRM 2020),2020.09.11-10.04,Online.
  11. Ohno Y,Yui M,Yoshikawa T,Murayama K,Ikeda H,Toyama H. 3D Oxygen-Enhanced MRI vs. Thin-Section CT: Capability for Pulmonary Functional Loss Assessment and Clinical Stage Classification for COPD in Smokers. 第48回日本磁気共鳴医学会大会 (JSMRM 2020),2020.09.11-10.04,Online.

展示発表

国際学会

  1. Ueda T,Ohno Y,Yamamoto K,Iwase A,Fukuba T,Obama Y,Murayama K,Toyama H. Compressed Sensing with and without Deep Learning Reconstruction: Comparison of the Utility for Women’s Pelvic MRI with Parallel Imaging. ISMRM & SMRT Virtual Conference and Exhibition 2020.08.08-14. Online.
  2. Shigemura C,Ohno Y,Akino N,Kimata H,Fujii K,Sugihara N,Doi Y,Matsumoto R,Katagata A,Kataoka Y,Hattori H,Murayama K,Toyama H. Newly Developed Deep Learning Reconstruction (Part I): Comparison of Lung Density Measurement Accuracy with Currently Available Reconstruction Methods on Area-Detector CT and Ultra-High-Resolution CT by QIBA-Recommended Phantom Study. 106th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2020),2020.11.29-12.05,Online.
  3. Obama Y,Ohno Y,Akino N,Kimata H,Fujii K,Sugihara N,Doi Y,Matsumoto R,Katagata A,Kataoka Y,Hattori H,Murayama K,Toyama H. Newly Developed Deep Learning Reconstruction (Part II): Comparison of Airway Wall Measurement Accuracy with Currently Available Reconstruction Methods on Area-Detector CT and Ultra-High-Resolution CT by QIBA-Recommended Phantom Study. 106th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2020),2020.11.29-12.05,Online.
  4. Murayama K,Ohno Y,Nomura M,Kimata H,Akino N,Fujii K,Hanamatsu S,Ikeda H,Kataoka Y,Katagata A,Doi Y,Matsumoto R,Toyama H. Deep Learning Reconstruction vs. Hybrid-Type Iterative Reconstruction vs. Model-Based Iterative Reconstruction: Capability for Image Quality Improvement on Brain Contrast-Enhanced CT Angiography. 106th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2020),2020.11.29-12.05,Online.
  5. Hanamatsu S,Murayama K,Ohno Y,Yamamoto K,Iwase A,Fukuba T,Sano Y,Ninomiya A,Ikedo M,Toyama H. Newly Developed Deep Learning Reconstruction on Brain DWI: Influence to Image Quality Improvement,ADC Assessment and IVIM Evaluation at In Vitro and In Vivo Studies. 106th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2020),2020.11.29-12.05,Online.
  6. Ueda T,Ohno Y,Yamamoto K,Iwase A,Fukuba T,Obama Y,Murayama K,Toyama H. Comparison of Image Quality Improvement and Examination Time Reduction among Compressed Sensing,Conventional Parallel Imaging and Those with Deep Learning Reconstruction at Women’s Pelvic MRI. ECR 2021.03.03-07. Online.
  7. Murayama K,Ohno Y,Yui M,Yamamoto K,Ikedo M,Hanamatsu S,Iwase A,Fukuba T,Toyama H. Comparison of Capability for Molecular-Based Assessment in Various Brain Tumor Patients between 3D Gradient Echo-Based CEST Imaging and 2D Spin Echo-Based CEST Imaging. ECR 2021.03.03-07. Online.

国内学会

  1. 濵渕菜邑,服部秀計,太田誠一朗,菊川 薫,今泉知良,星川 康,塚本哲也,大野良治,外山 宏. 特異な石灰化を伴ったsclerosing pneumocytomaの一例. 第56回日本医学放射線学会秋季大会,2020.10.28-11.26,ＷEB開催.

ページの先頭へ

  • 研究員カレンダー
  • 藤田医科大学
  • 入局案内

藤田医科大学医学部
放射線医学教室

〒470-1192
愛知県豊明市沓掛町田楽ヶ窪1番地98
TEL　0562-93-9259
FAX　0562-95-2253

Googleマップで見る