研究業績

研究業績

2021年度業績

著書

和文著書

  1. 大野良治. 形態と機能からみた呼吸器疾患 病態を読み解くメカニズム, 第II章 呼吸器の形態評価とは 3. 胸部MRI. 平井豊博他編集,南江堂, 東京, p44-54, 2021.
  2. 大野良治. MRI応用自由自在 第4版, VIその他の臓器 ①肺におけるMRIの意義. 高原太郎監修, 堀　正明他編集, Medical View, 東京, p457-458, 2021.
  3. 大野良治. MRI応用自由自在 第4版, VIその他の臓器 ②肺癌の描出. 高原太郎監修, 堀　正明他編集, Medical View, 東京, p459-462, 2021.

英文論文

英文原著

  1. 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. 2021 Apr;53(4):1042-1051. doi: 10.1002/jmri.27441.
  2. Tsujimoto M, Teramoto A, Dosho M, Tanahashi S, Fukushima A, Ota S, Inui Y, Matsukiyo R, Obama Y, Toyama H. Automated classification of increased uptake regions in bone single-photonemission computed tomography/computed tomography images using three-dimensional deep convolutional neural network. Nucl Med Commun. 2021 Aug 1;42(8):877-883.
  3. Tsujimoto M, Shirakawa S, Watanabe M, Teramoto A, Uno M, Ota S, Matsukiyo R, Okui T, Kobayashi Y, Toyama H.　 Two‐versus three‐dimensional regions of interest for quantifying SPECT‐CT images Phys Eng Sci Med. 2021 Jun;44(2):365-375.
  4. Ohno Y, Aoyagi K, Takenaka D, Yoshikawa T, Fujisawa Y, Sugihara N, Hamabuchi N, Hanamatsu S, Obama Y, Ueda T, Hattori H, Murayama K, Toyama H. Machine learning for lung texture analysis on thin-section CT: Capability for assessments of disease severity and therapeutic effect for connective tissue disease patients in comparison with expert panel evaluations. Acta Radiol. 2021 Oct 12:2841851211044973. doi: 10.1177/02841851211044973.
  5. Ohno Y, Yoshikawa T, Takenaka D, Koyama H, Aoyagi K, Yui M, Oshima Y, Hamabuchi N, Tanaka Y, Shigemura C, Oota S, Nomura M, Murayama K, Inui Y, Kikukawa K, Toyama H. Small Cell Lung Cancer Staging: Prospective Comparison of Conventional Staging Tests, FDG PET/CT, Whole-Body MRI, and Coregistered FDG PET/MRI. AJR Am J Roentgenol. 2021 Dec 8. doi: 10.2214/AJR.21.26868.
  6. Ohno Y, Kishida Y, Seki S, Koyama H, Yui M, Aoyagi K, Yoshikawa T. Comparison of Interobserver Agreement and Diagnostic Accuracy for IASLC/ITMIG Thymic Epithelial Tumor Staging Among Co-registered FDG-PET/MRI, Whole-body MRI, Integrated FDG-PET/CT, and Conventional Imaging Examination with and without Contrast Media Administrations. Acad Radiol. 2022 Mar;29 Suppl 3:S122-S131. doi: 10.1016/j.acra.2017.12.016.
  7. Ohno Y, Takenaka D, Yoshikawa T, Yui M, Koyama H, Yamamoto K, Hamabuchi N, Shigemura C, Watanabe A, Ueda T, Ikeda H, Hattori H, Murayama K, Toyama H. Efficacy of Ultrashort Echo Time Pulmonary MRI for Lung Nodule Detection and Lung-RADS Classification. Radiology. 2022 Mar;302(3):697-706. doi: 10.1148/radiol.211254.
  8. Shigemoto Y, Matsuda H, Kimura Y, Chiba E, Ohnishi M, Nakaya M, Maikusa N, Ogawa M, Mukai Y, Takahashi Y, Sako K, Toyama H, Inui Y, Taki Y, Nagayama H, Ono K, Kono A, Sekiguchi K, Hirano S, Sato N. Voxel-based analysis of age and gender effects on striatal [ 123 I] FP-CIT binding in healthy Japanese adults. Ann Nucl Med 2022 May;36(5):460-467.

英文総説

  1. Ohno Y, Seo JB, Parraga G, Lee KS, Gefter WB, Fain SB, Schiebler ML, Hatabu H.　Pulmonary Functional Imaging: Part 1-State-of-the-Art Technical and Physiologic Underpinnings.　Radiology. 2021 Jun;299(3):508-523. doi: 10.1148/radiol.2021203711.
  2. Gefter WB, Lee KS, Schiebler ML, Parraga G, Seo JB, Ohno Y, Hatabu H.　Pulmonary Functional Imaging: Part 2-State-of-the-Art Clinical Applications and Opportunities for Improved Patient Care.　Radiology. 2021 Jun;299(3):524-538. doi: 10.1148/radiol.2021204033.
  3. Tanaka Y, Ohno Y, Hanamatsu S, Obama Y, Ueda T, Ikeda H, Iwase A, Fukuba T, Hattori H, Murayama K, Yoshikawa T, Takenaka D, Koyama H, Toyama H. State-of-the-art MR Imaging for Thoracic Diseases. Magn Reson Med Sci. 2022 Mar 1;21(1):212-234. doi:10.2463/mrms.rev.2020-0184.

英文症例報告

  1. Hamabuchi N, Hattori H, Tsukamoto T, Nomura M, Ota S, Inui Y, Kikukawa K, Imaizumi K, Kondo M, Hoshikawa Y, Toyama H, Ohno Y. A Case of Multiple Sclerosing Pneumocytomas With Calcifications: Added Functional-based Information With Dynamic Contrast-enhanced Perfusion Magnetic Resonance Imaging. J Thorac Imaging. 2021 Nov 1;36(6):W109-W114. doi: 10.1097/RTI.0000000000000604.

日本語論文

総説

  1. 大野良治. Change the standard:広がるMRIの可能性　キヤノンメディカルシステムズによる最新MR診断. INNERVISION, 36巻, 78-80, 2021

国際学会発表

講演

  1. Yoshiharu Ohno. State of the Art MR Imaging for Respiratory Diseases. 18th Asian Oceanian Congress of Radiology, 2021.04.15-18, Yokohama.
  2. Yoshiharu Ohno. Pulmonary MRI for Clinical Evaluation of Lung Disorders. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.

一般口演

  1. Ohno Y, Yui M, Yoshikawa T, Takenaka D, Yamamoto K, Kassai Y, Murayama K, Toyama H. Can pulmonary thin-section MRI with UTE<200μs be applied for lung cancer screening similar to CT? 29th International Society for Magnetic Resonance in Medicine (ISMRM2021) 2021.5.15-5.20, Online.
  2. 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 between 3D Gradient Echo-Based and 2D Spin Echo-Based CEST Imaging for Brain Tumors. 29th International Society for Magnetic Resonance in Medicine (ISMRM2021) 2021.5.15-5.20, Online.
  3. Ohno Y, Yui M, Yoshikawa T, Kassai Y, Yamamoto K, Murayama K, Toyama H. CEST Imaging vs. Diffusion-Weighted Imaging vs. FDG-PET/CT vs. Combined Method: Prediction Capability for Recurrence in NSCLC Patients. 29th International Society for Magnetic Resonance in Medicine (ISMRM2021) 2021.5.15-5.20, Online.
  4. Ohno Y, Aoyagi K, Takenaka D, Yoshikawa T, Fujisawa Y, Sugihara N, Hattori H, Murayama K, Toyama H. Machine Learning for Lung CT Texture Analysis in Connective Tissue Disease: Capability for Disease Severity and Therapeutic Effect Evaluations. CARS 2021, 2021.06.21-25, Online.
  5. Ohno Y, Yui M, Yamamoto K, Ikedo M, Kassai Y, Takenaka D, Fujisawa R, Hanamatsu S, Obama Y, Ueda T, Ikeda H, Murayama K, Toyama H. Comparison of Capability for Lymph Node Metastasis Prediction among Lung MRI with Ultra-Short TE (UTE-MRI) by Single and Dual Echo Techniques, Thin-Section CT, DWI, FDG-PET/CT and Combined MR Predictors in Non-Small Cell Lung Cancer. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  6. Ohno Y, Takenaka D, Yoshikawa T, Yui M, Yamamoto K, Hamabuchi N, Shigemura C, Watanabe A, Ueda T, Ikeda H, Hattori H, Murayama K, Toyama H. Pulmonary MR Imaging with Ultra-Short TE: Capability for Nodule Detection and Lung-RADS Classification Compared with that of Standard- and Reduced-Dose CTs. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  7. Murayama K, Ohno Y, Yui M, Yamamoto K, Ikedo M, Hanamatsu S, Ikeda H, Iwase A, Fukuba T, Katada K, Toyama H. Chemical Exchange Saturation Transfer (CEST) Imaging In Various Brain Tumor Patients: Comparison Of Capability For Molecular-based Assessment Between 2D Spin Echo- And 3D Gradient Echo-based Sequences. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  8. Ohno Y, Yui M, Yoshikawa T, Takenaka D, Yamamoto K, Ikedo M, Takahashi K, Tanaka Y, Oota S, Ikeda H, Inui Y, Kikukawa K, Murayama K, Toyama H. Comparison of Therapeutic Effect Prediction for Chemoradiotherapy in Non-Small Cell Lung Cancer among Chemical Exchange Saturation Transfer (CEST) Imaging, Diffusion-Weighted Imaging, FDG-PET/CT and Combined Predictors from MRI and PET. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  9. Ohno Y, Yui M, Takenaka D, Hamabuchi N, Hanamatsu S, Murayama K, Toyama H. Appropriate b Value for Computed DWI Results in Superior Capability for N-Stage Assessment of Non-Small Cell Lung Cancer Patients than that of Actual DWI, STIR Imaging or FDG-PET/CT. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  10. Ohno Y, Yui M, Yoshikawa T, Takenaka D, Yamamoto K, Kassai Y, Murayama K, Toyama H. Computed DWIs with different b values vs. Actual DWI vs. FDG-PET/CT: Capability for N-Stage Assessment in NSCLC Patients. 29th International Society for Magnetic Resonance in Medicine (ISMRM2021) 2021.5.15-5.20, Online.
  11. Ohno Y, Yui M, Takenaka D, Yoshikawa T, Kassai Y, Yamamoto K, Oshima Y, Hamabuchi N, Hanamatsu S, Obama Y, Ueda T, Ikeda H, Murayama K, Toyama H. Appropriate b Value for Computed DWI Results in Superior Capability for N-Stage Assessment of NSCLC Patients than that of Actual DWI, STIR Imaging and FDG-PET/CT. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.
  12. Ueda T, Ohno Y, Yamamoto K, Yui M, Ikedo M, Hanamatsu S, Ikeda H, Murayama K, Toyama H. Comparison of Distinguishing Capability from Malignant to Benign Prostatic Areas among CEST Imaging, DWI and Combined Discriminators. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.
  13. Ohno Y, Yui M, Yamamoto K, Ikedo M, Kassai Y, Takenaka D, Oshima Y, Hamabuchi N, Hanamatsu S, Obama Y, Ueda T, Ikeda H, Murayama K, Toyama H. Pulmonary MRI with UTE: Potential for Improving Lymph Node Metastasis Prediction Capability With and Without DWI as Compared with Thin-Section CT and PET/CT in NSCLC Patients. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.
  14. Ohno Y, Takenaka D, Yoshikawa T, Yui M, Yamamoto K, Oshima Y, Hamabuchi N, Ueda T, Ikeda H, Murayama K, Toyama H. Ultrashort Echo Time Pulmonary MRI: Nodule Detection and Lung-RADS Classification Versus Standard- or Low-Dose CTs. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.
  15. Ikeda H, Ohno Y, Yamamoto K, Murayama K, Yui M, Hanamatsu S, Iwase A, Ueda T, Toyama H. Comparison of image quality and diagnostic performance among DWI obtained by FASE and EPI sequences and reconstructed with and without deep learning reconstruction in suspected head and neck tumor. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.

展示発表

  1. Ikeda H, Ohno Y, Yamamoto K, Murayama K, Ikedo M, Yui M, Hanamatsu S, Iwase A, Fukuba T, Toyama H. Compressed Sensing vs. Conventional Parallel Imaging: Utility of Head and Neck MRI for Image Quality and Inspection Efficacy. 29th International Society for Magnetic Resonance in Medicine (ISMRM2021) 2021.5.15-5.20, Online.
  2. Ueda T, Ohno Y, Yamamoto K, Murayama K, Ikedo M, Yui M, Iwase A, Fukuba T, Hanamatsu S, Obama Y, Ikeda H, Toyama H. Deep Learning Reconstruction for DWI with b Values <5000s/mm2: Improvement of Image Quality and Diagnostic Performance for Prostatic Cancer. 29th International Society for Magnetic Resonance in Medicine (ISMRM2021) 2021.5.15-5.20, Online.
  3. Matsuyama T, Ohno Y, Yamamoto K, Murayama K, Ikedo M, Yui M, Iwase A, Fukuba T, Hanamatsu S, Obama Y, Ueda T, Ikeda H, Toyama H. FAST 3D vs. Compressed Sensing vs. Parallel Imaging: Image Quality Improvement on MRCP with and without Deep Learning Reconstruction. 29th International Society for Magnetic Resonance in Medicine (ISMRM2021) 2021.5.15-5.20, Online.
  4. Matsuyama T, Ohno Y, Yamamoto K, Murayama K, Ikedo M, Yui M, Iwase A, Fukuba T, Hanamatsu S, Nagata H, Hanaoka R, Kato R, Toyama H. Deep Learning Reconstruction (DLR): Comparison for Image Quality and Diagnostic performance for IPMN Improvements on 3D MRCPs by Conventional Parallel Imaging, Compressed Sensing and multiple slice encoding in TR (Fast 3D mode Multiple). 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  5. Murayama K, Ohno Y, Yamamoto K, Matsuyama T, Ota S, Yui M, Ikedo M, Iwase A, Fukuba T, Katada K, Toyama H. Fast 3D Wheel, Compressed Sensing And Parallel Imaging: Compared Capabilities For Scan Time Reduction And Image Quality And Diagnostic Performance Improvements In Suspected Brain Metastasis Patients. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  6. Hanamatsu S, Murayama K, Ohno Y, Yamamoto K, Obama Y, Ikeda H, Ikedo M, Yui M, Sano Y, Iwase A, Fukuba T, Katada K, Toyama H. Fast 3D Wheel (Fast 3Dw) On Cerebral MR Angiography: Capability For Examination Time Reduction Without Degradation Of Image Quality And Aneurysm Evaluation In Candidates With Cerebral Aneurysm Treatment. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  7. Murayama K, Ohno Y, Ikeda H, Kimata H, Akino N, Fujii K, Hanamatsu S, Kataoka Y, Katagata A, Matsumoto R, Katada K, Toyama H. Deep Learning Reconstruction vs. Hybrid-Type Iterative Reconstruction vs. Model-Based Iterative Reconstruction: Capability for Image Quality Improvements on Brain Contrast-Enhanced CT Angiography for Ultra-High-Resolution CT. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  8. Ueda T, Ohno Y, Yamamoto K, Yazawa N, Tozawa I, Sato M, Katagiri M, Ikedo M, Yui M, Murayama K, Katada K, Toyama H. Compressed sensing and deep learning reconstruction on women’s pelvic MRI at 1.5 T MR System: Utility for improving image quality and examination time as compared with parallel imaging. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  9. Ikeda H, Ohno Y, Yamamoto K, Murayama K, Ikedo M, Yui M, Hanamatsu S, Iwase A, Fukuba T, Obama Y, Ueda T, Toyama H. Comparison of Image Quality and Diagnostic Performance on DW I between FASE and EPI Sequences with and without Deep Learning Reconstruction in Suspected Head and Neck Tumor. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  10. Shigamura C. Ohno Y, Hamabuchi N, Watanabe A, Kataoka Y, Ida Y, Akino N, Ito Y, Kimata H, Fujii K, Nakanishi S, Murayama K, Katada K, Toyama H. Ultra-High-Resolution and Area-Detector CTs for Lung Density Assessment: Comparison of Radiation Dose Reduction Capability among Hybrid-Type and Model-Based Iterative Reconstructions and Deep Learning Reconstruction at QIBA Recommended Phantom Study. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  11. Murayama K, Ohno Y, Nomura M, Kimata H, Akino N, Fujii K, Hanamatsu S, Ikeda H, Kataoka Y, Katagata A, Matsumoto R, Katada K, Toyama H. Deep Learning Reconstruction vs. Hybrid-Type Iterative Reconstruction vs. Model-Based Iterative Reconstruction: Capability for Image Quality and Diseaes Depiction Improvements on Unenhanced Brain CT in Acute Ischemic Stroke Patients. 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), 2021.11.28-12.05, Chicago.
  12. Ohno Y, Aoyagi K, Arakita K, Fujisawa Y, Taniguchi A, Ikeda H, Hattori H, Murayama K, Toyama H. Newly Developed Artificial Intelligence Algorithm for COVID-19 Pneumonia: Utility of Quantitative CT Texture Analysis for Prediction of Favipiravir Treatment Effect. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.
  13. Hanamatsu S, Murayama K, Ohno Y, Yamamoto K, Obama Y, Ikeda H, Yui M, Iwase A, Toyama H. Comparison of Capability for Examination Time, Vascular Clarity and Aneurysm Depiction between Fast 3Dw and Conventional Parallel Imaging on Brain MR Angiography. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.
  14. Murayama K, Ohno Y, Yamamoto K, Matsuyama T, Ota S, Yui M, Ikedo M, Iwase A, Toyama H. Comparison of Scan Time Reduction and Image Quality and Diagnostic Performance Improvements among Fast 3D Wheel, Compressed Sensing and Parallel Imaging in Suspected Brain Metastasis Patients. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.
  15. Ueda T, Ohno Y, Yamamoto K, Yazawa N, Tozawa I, Ikedo M, Yui M, Murayama K, Toyama H. Compressed Sensing and Deep Learning Reconstruction (DLR): Utility for Women’s Pelvic MRI at 1.5 T MR System as Compared with Parallel Imaging in Routine Clinical Practice. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.
  16. Matsuyama T, Ohno Y, Yamamoto K, Ikedo M, Yui M, Hanamatsu S, Nagata H, Ueda T, Ikeda H, Murayama K, Toyama H. Comparison of Image Quality and Diagnostic Performance on 3D MRCP with and without Deep Learning Reconstruction Obtained with Parallel Imaging, Compressed Sensing and Multiple Slice Encoding in TR (FAST 3D Mode Multiple) for Patients with IPMN. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.
  17. Murayama K, Ohno Y, Nomura M, Kimata H, Akino N, Fujii K, Kataoka Y, Katagata A, Toyama H. Comparison of Image Quality and Disease Depiction Improvements among Deep Learning, Hybrid-type and Model-Based Iterative Reconstruction on Unenhanced Brain CT in Acute Ischemic Stroke Patients. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.
  18. Murayama K, Ohno Y, Ikeda H, Kimata H, Akino N, Fujii K, Kataoka Y, Katagata A, Toyama H. Comparison of Image Quality Improvements among Deep Learning Reconstruction, Hybrid-type and Model-Based Iterative Reconstruction on Brain Contrast-Enhanced CT Angiography for Ultra-High-Resolution CT. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.
  19. Ohno Y, Akino N, Ito Y, Kimata H, Fujii K, Fujisawa Y, Murayama K, Toyama H. Deep Learning Reconstruction vs. Hybrid-Type and Model-Based Iterative Reconstructions: Radiation Dose Reduction of Lung Density Evaluation on Ultra-High Resolution and Area-Detector CTs as QIBA Study. 28th European Congress of Radiology (ECR2022), 2022.03.02-03.06, 07.13-07.17 Vienna & Online.

国内学会発表

講演

  1. 大野良治. キヤノンメディカルシステムズによる最新MR診断. 第80回 日本医学放射線学会総会, 2021.04.15-04.18. 横浜.
  2. 乾　好貴　東海WEB講演会　「ビギナーのための脳血流SPECT –変性疾患を中心に– 」2021.4.27 Web開催.
  3. 乾　好貴　第48回神奈川PET・SPECT研究会「初心にかえって考える脳血流SPECT –認知症疾患を中心に– 」2021.6.5 Web開催.
  4. 大野良治. COVID-19肺炎のCT診断における現状と将来展望. 第9回 中部キヤノンCTユーザー会, 2021.09.04, オンライン.
  5. 大野良治. キヤノンメディカルシステムズにおけるCOVID-19肺炎CT診断の現状と展望. 第15回 中部MDCTシンポジウム, 2021.10.02, オンライン.
  6. 乾　好貴　第61回日本核医学会学術総会　教育講演7 脳核医学2 「認知症疾患における脳血流SPECTの役割と限界」 2021.11.5名古屋
  7. 大野良治. CTおよびMRIによる呼吸機能・代謝イメージング：呼吸器疾患における核医学への挑戦. 第58回腫瘍・免疫核医学研究会／第40回呼吸器核医学研究会, 2021.11.06, 名古屋.
  8. 大野良治. COVID-19肺炎のCT診断，経過観察および治療効果予測. 第13回呼吸機能イメージング研究会学術集会, 2022.01.21-01.22, 福岡.
  9. 大野良治. CTによる肺血流評価: Dual-Energy CT, Subtraction CTおよびPerfusion CTの臨床応用. 第13回呼吸機能イメージング研究会学術大会. 2022.01.21. 福岡.
  10. 植田高弘. 1.5T DLR-MRIの新たな可能性 －検査の安定性向上をめざして－. Advanced Imaging Seminar2022, 2022.02.26,　オンライン.

一般口演

  1. 高橋 和也, 田中 優美, 乾 好貴, 太田誠一朗, Zhao Xiaofei, 市原 隆, 村山 和宏, 外山 宏,長尾龍之介, 水谷 泰彰, 伊藤 瑞規, 渡辺 宏久, 祖父江亮太, 豊田 昭博, 宇野 正樹, 石黒 雅. 123I-FP-CIT SPECTとMRI合成画像によるセロトニン・トランスホーターの定量評価―臨床例による検討―. 第92回日本核医学会中部地方会2021.7.3 Web開催.
  2. Zhao Xiaofei, 市原 隆, 乾 好貴, 太田誠一朗, 外山 宏, 石黒 雅伸, 宇野 正樹. SPECT/CT による I-123 IMP 脳 SPECT 時の LEHR + 分解能補正の最適条件の検討. 第92回日本核医学会中部地方会2021.7.3 Web開催.
  3. Ohno Y, Yamamoto K, Ikedo M, Yui M, Iwase A, Fukuba T, Hanamatsu S, Obama Y, Ikeda H, Murayama K, Katada K, Kobayashi S, Toyama H. Deep Learning Reconstruction (DLR) for Chest MRI: Image Quality and Diagnostic Performance Improvements in Non-Small Cell Lung Cancer. 第49回日本磁気共鳴医学会大会 (JSMRM 2021)，2021.09.10-09.12, 横浜.
  4. Murayama K, Ohno Y, Yamamoto K, Matsuyama T, Ota S, Hanamatsu S, Obama Y, Ueda T, Ikeda H, Yui M, Ikedo M, Iwase A, Fukuba T, Kobayashi S, Toyama H. Compared Utility for Metastasis Surveillance of Fast 3D Wheel with Compressed Sensing and Parallel Imaging in Suspected Brain Metastasis Patients. 第49回日本磁気共鳴医学会大会 (JSMRM 2021)，2021.09.10-09.12, 横浜.
  5. Ohno Y, Yui M, Yamamoto K, Ikedo M, Kassai Y, Takenaka D, Hanamatsu S, Obama Y, Ueda T, Ikeda H, Murayama K, Katada K, Toyama H. Compared Lymph Node Metastasis Prediction Capability among UTE-MRI with Two Methods, CT, DWI, PET/CT and Combined MR Predictors in NSCLC Patients. 第49回日本磁気共鳴医学会大会 (JSMRM 2021)，2021.09.10-09.12, 横浜.
  6. Ohno Y, Yui M, Takenaka D, Yoshikawa T, Yamamoto K, Ikedo M, Iwase A, Fukuba T, Hanamatsu S, Obama Y, Ueda T, Ikeda H, Murayama K, Kobayashi S, Katada K, Toyama H. Single- and Multi-Parametric Predictions for Therapeutic Effect on DWI, CEST and FDG-PET/CT in NSCLC Patients with Chemoradiotherapy. 第49回日本磁気共鳴医学会大会 (JSMRM 2021)，2021.09.10-09.12, 横浜.
  7. Ueda T, Ohno Y, Yamamoto K, Yui M, Ikedo M, Iwase A, Fukuba T, Hanamatsu S, Obama Y, Ikeda H, Murayama K, Katada K, Kobayashi S, Toyama H. Comparison of Capability for Distinguishing Malignant from Benign Prostatic Areas among CEST, DWI, PI-RADS and Combined Discriminators. 第49回日本磁気共鳴医学会大会 (JSMRM 2021)，2021.09.10-09.12, 横浜.
  8. Ohno Y, Takenaka D, Yoshikawa T, Yui M, Aoyagi K, Hanamatsu S, Obama Y, Ueda T, Ikeda H, Murayama K, Katada K, Kobayashi S, Toyama H. Comparison of Capability for TNM and VALSG Stage Assessments among PET/MRI, PET/CT, Whole-Body MRI and Conventional Examination in SCLC Patients. 第49回日本磁気共鳴医学会大会 (JSMRM 2021)，2021.09.10-09.12, 横浜.
  9. 大野良治，竹中大祐，吉川　武，重村知香，野村昌彦，太田誠一朗，乾　好貴，村山和宏，菊川　薫，外山　宏. 全身MRI， PET/CT， PET/MRIおよび標準画像検査による肺小細胞癌の病期診断能の比較検討.第61回日本核医学会学術総会・第41回日本核医学技術学会総会学術大会, 2021.11.04-11.06, 名古屋.
  10. 大島夕佳，濱渕菜邑，秋野成臣，伊藤雄也，木全洋奈，藤井健二，藤澤恭子，服部秀計，大野良治，外山　宏. Ultra-high Resolution CT と Area-Detector CTにおける低線量下CT値測定の検討. 第13回呼吸機能イメージング研究会学術集会, 2022.01.21-01.22, 福岡.
  11. Murayama K, Ohno Y, Nomura M, Kimata H, Akino N, Fujii K, Hanamatsu S, Ikeda H, Toyama H. Capability for Image Quality Improvement of Deep Learning Reconstruction on Unenhanced Brain CT in Acute Ischemic Stroke Patients. 第51回日本神経放射線学会, 2022.02.18-19, Online.
  12. 古田みなみ，大島 夕佳，田原 葵，藤澤 怜奈，高橋 和也，重村 知香，渡邉あゆみ，田中 優美，野村 昌彦，太田誠一朗，乾 好貴，菊川 薫，棚橋 伸吾，渡邉 公憲，宇野 正樹，石黒 雅, 平山 昭, 外山 宏. シリコン光電子増倍素子搭載型 PET/CT 装置の性能評価と臨床画像評価. 第93回日本核医学会中部地方会2022.2.19 Web開催
  13. 大野良治，吉川　武，竹中大祐，油井正雄，山本香織, 葛西吉守, 大島夕佳, 濱渕菜邑, 村山和宏, 外山　宏. Ultra-Short TEを用いた肺MRIによる肺癌検診の可能性：標準線量及び低線量CTとの肺結節検出およびLung-RADS評価能の比較. 第29回日本CT検診学会学術集会, 2022.02.25-02.26, 仙台.
  14. 大野良治，大島夕佳，濱渕菜邑，秋野成臣，木全洋奈，藤井健二，藤澤恭子，村山和宏，外山　宏. 超高精細CTにおけるCOPDに対するCT検診用撮像法の被曝低減に関する基礎的検討：撮像モード及び再構成法に関する検討. 第41回日本CT検診学会学術集会, 2022.02.25-02.26, 仙台.
  15. 大野良治，大島夕佳，濱渕菜邑，青柳康太，木全洋奈，藤井健二，藤澤恭子，村山和宏，外山　宏. Machine Learningを用いた人工知能による膠原病肺CTにおける病勢評価に関する検討. 第41回日本CT検診学会学術集会, 2022.02.25-02.26, 仙台.

展示発表

  1. Hanamatsu S, Murayama K, Ohno Y, Yamamoto K, Obama Y, Ikeda H, Ikedo M, Yui M, Sano Y, Iwase A, Fukuba T, Kobayashi S, Katada K, Toyama H. Comparison of the Capability of Brain MRA for Examination Time, Image Quality and Diagnostic Performance between Fast 3D Wheel and Parallel Imaging. 第49回日本磁気共鳴医学会大会 (JSMRM 2021)，2021.09.10-09.12, 横浜.
  2. Fukuba T, Iwase A, Yamamoto K, Ikedo M, Sano Y, Murayama K, Ohno Y. Basic study of Exsper DWI, which is DWI with new parallel imaging using k-space calibration and image-space synthesis. 第49回日本磁気共鳴医学会大会 (JSMRM 2021)，2021.09.10-09.12, 横浜.
  3. Matsuyama T, Ohno Y, Yamamoto K, Ikedo M, Yui M, Iwase A, Fukuba T, Hanamatsu S, Obama Y, Ueda T, Ikeda H, Murayama K, Kobayashi S, Katada K, Toyama H. Comparison of 3D MRCPs among PI, CS and Fast 3D Mode Multiple with and without DLR in IPMN Patients. 第49回日本磁気共鳴医学会大会 (JSMRM 2021)，2021.09.10-09.12, 横浜.
  4. Ikeda H, Ohno Y, Yamamoto K, Murayama K, Ikedo M, Yui M, Hanamatsu S, Iwase A, Fukuba T, Obama Y, Ueda T, Toyama H. FASE vs. EPI: Image Quality and Diagnostic Performance on DWI with Deep Learning Reconstruction in Suspected Head and Neck Tumor. 第49回日本磁気共鳴医学会大会 (JSMRM 2021)，2021.09.10-09.12, 横浜.
  5. Ueda T, Ohno Y, Yamamoto K, Yazawa N, Tozawa I, Sato M, Katagiri M, Ikedo M, Yui M, Murayama K, Katada K, Kobayashi S, Toyama H. Capability of Compressed Sensing and Deep Learning Reconstruction on Women’s Pelvic MRI at 1.5-T MR System as Compared with Parallel Imaging. 第49回日本磁気共鳴医学会大会 (JSMRM 2021)，2021.09.10-09.12, 横浜.

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放射線医学教室

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愛知県豊明市沓掛町田楽ヶ窪1番地98
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