放射線技術部の研究・業績

放射線技術部では、各種画像検査技術・放射線治療技術に基づく研究を行っています。これらの研究テーマには、大学や企業との共同研究も含まれています。

• 放射線技師の放射線災害に関する能力とリテラシーに関する実態調査
• Spectral CTを用いた悪性腫瘍の診断に関する基礎的研究
• 線量管理システムを利用した患者への線量情報共有に関する研究
• 内用療法に伴う高精度セラノスティクスの開発研究．
• MR画像誘導放射線治療に関する研究
• Adaptive治療に関する研究

業績（2023年度）

論文（査読あり）

1. Sato S, Urikura A, Mimatsu M, Miyamae Y, Jibiki Y, Yamashita M, Ishihara T. Physical characteristics of deep learning-based image processing software in computed tomography: a phantom study. Phys Eng Sci Med. 2023
2. Umemuro A, Sato M, Narita M, Hori S, Sakurai S, Nakayama T, Ogura T. Basic Study of Mammographic Image Magnification System with Eye-Detector and Simple EEG Scanner. International Journal of Biomedical and Biological Engineering, 2023, 17(5), 101-104.
3. Watanabe S, Urikura A, Ohashi K, Kitera N, Tsuchiya T, Kasai H, Kawai T, Hiwatashi A. Artifact reduction in low and ultra-low dose chest computed tomography for patients with pacemaker: A phantom study. Radiography (Lond). 2024 Mar 8;30(3):770-775.
4. Yoshida T, Murayama S, Yasui K, Tomida T, Urikura A. Pacemaker Malfunction During Passive Proton Beam Therapy for Localized Prostate Cancer: Case Reports and a Literature Review. Cureus. 2023 Sep 29;15(9):e46223.
5. Urikura A, Miyauchi Y, Yoshida T, Ishita Y, Takiguchi K, Aramaki T. Patient Positioning Assistive Technology Applicable to the Existing Computed Tomography System: Estimation by Pixel Value of Scout Image. J Comput Assist Tomogr. 2023 Aug 9
6. Hirairi T, Ichikawa K, Urikura A, Kawashima H, Tabata T, Matsunami T. Improvement of diagnostic performance of hyperacute ischemic stroke in head CT using an image-based noise reduction technique with non-black-boxed process. Phys Med. 2023 Aug 5;112:102646
7. Urikura A, Yoshida T, Matsubara K, Nomura K, Hoshino T, Takagi T. Number of computed tomography scanners and regional disparities based on population and medical resources in Japan. Radiol Phys Technol. 2023 May 18
8. 岡藤 康明, 瓜倉 厚志, 高城 正行, 世代の異なる320 列area detector CT のnon-helical volume scan における実効時間分解能評価, 日本CT技術学会雑誌, 2024, 12 巻, 1 号, p. 10-13
9. 丹羽伸次, 原孝則, 西丸英治, 瓜倉厚志. 等価スライス感度プロファイルを有する multi-planar reconstruction CT 画像を用いた system performance function の評価. 日本 CT 技術学会雑誌, 2023 11(1), 9.
10. 新井知大, 石原敏裕, 渡邉雄一, 武田聡司, 深水良哉, 石田隆人, 金子順一. 放射線災害分野に関する e-learning 研修システムの開発とその教育効果. 保健物理, 2024. 58(4), 203-208.
11. Nakayama H, Okamoto H, Nakamura S, Iijima K, Chiba T, Takemori M, Nakaichi T, Mikasa S, Fujii K, Sakasai T, Kuwahara J, Miura Y, Fujiyama D, Tsunoda Y, Hanzawa T, Igaki H, Chang W, Film measurement and analytical approach for assessing treatment accuracy and latency in a magnetic resonance-guided radiotherapy system. J Appl Clin Med Phys. 2023 May;24(5):e13915
12. Nagao A, Okamoto H, Nakayama H, Chiba T, Fujiyama D, Kuwahara J, Sakasai T, Kashihara T, Kaneda T, Inaba K, Okuma K, Murakami N, Igaki H, Assessment of intrafractional motion of the cervix-uterus by MR-guided radiotherapy system. J Radiat Res. 2023 Nov 21;64(6):967-972.
13. Okamoto H, Wakita A, Tani K, Kito S, Kurooka M, Kodama T, Tohyama N, Fujita Y, Nakamura S, Iijima K, Chiba T, Nakayama H, Murata M, Goka T, Igaki H. Plan complexity metrics for head and neck VMAT competition plans. Med Dosim. 2024 Feb 16:S0958-3947(24)00009-8.

業績（2022年度）

論文（査読あり）

1. Urikura A, Miyauchi Y, Yoshida T, Ishita Y, Takiguchi K, Endo M, Aramaki T. Patient dose increase caused by posteroanterior CT localizer radiographs. Radiography (Lond). 2023 27;29(2):334-339.
2. Koretsune Y, Sone M, Sugawara S, Wakatsuki Y, Ishihara T, Hattori C, Fujisawa Y, Kusumoto M. Validation of a convolutional neural network for the automated creation of curved planar reconstruction images along the main pancreatic duct. Jpn J Radiol. 2023 41(2):228-234.
3. Kon M, Okamoto H, Nakamura S, Iijima K, Chiba T, Takemori M, Nakayama H, Nakaichi T, Mikasa S, Fujii K, Urago Y, Ishikawa M, Sofue T, Katsuta S, Inaba K, Igaki H, Aso T. Planning study: prone versus supine position for stereotactic body radiotherapy in prostate by CyberKnife. J Radiat Res. 2023 Jan 20;64(1):186-194.
4. Takemori M, Nakamura S, Sofue T, Ito M, Goka T, Miura Y, Iijima K, Chiba T, Nakayama H, Nakaichi T, Mikasa S, Takano Y, Kon M, Shuto Y, Urago Y, Nishitani M, Kashihara T, Takahashi K, Murakami N, Nishio T, Okamoto H, Chang W, Igaki H. Failure modes and effects analysis study for accelerator-based Boron Neutron Capture Therapy. Med Phys. 2023 50(1):424-439.
5. Arai T, Murata S, Watanabe Y, Ishihara T, Fukamizu Y, Takeda S, Ebata K, Watanabe Y, Takashima Y, Kaneko J. Fact-finding survey on the competencies and literacy of radiological technologists regarding radiation disasters. J Xray Sci Technol. 2023;31(2):237-245.
6. Urikura A, Yoshida T, Endo M, Asakura K, Sato R, Saiga A, Moriguchi M, Nakashima K, Aramaki T. Computed tomographic pulmonary angiography: Three cases of low-tube-voltage acquisition with a slow injection of contrast medium. Acta Radiol Open. 2022 14;11(10):20584601221131476.
7. Okamoto H, Igaki H, Chiba T, Shibuya K, Sakasai T, Jingu K, Inaba K, Kuroda K, Aoki S, Tatsumi D, Nakamura M, Kadoya N, Furuyama Y, Kumazaki Y, Tohyama N, Tsuneda M, Nishioka S, Itami J, Onishi H, Shigematsu N, Uno T. Practical guidelines of online MR-guided adaptive radiotherapy. J Radiat Res. 2022 21;63(5):730-740.
8. Miyazaki Y, Shimizu J, Kubo Y, Tabata N, Aso T. Quantitative classification of invasive and noninvasive breast cancer using dynamic magnetic resonance imaging of the mammary gland. J Clin Imaging Sci. 2022 5;12:45.
9. Nishioka S, Okamoto H, Chiba T, Sakasai T, Okuma K, Kuwahara J, Fujiyama D, Nakamura S, Iijima K, Nakayama H, Takemori M, Tsunoda Y, Kaga K, Igaki H. Identifying risk characteristics using failure mode and effect analysis for risk management in online magnetic resonance-guided adaptive radiation therapy. Phys Imaging Radiat Oncol. 2022 6;23:1-7.
10. Hasegawa A, Ishihara T, Pan T, Ropp AM, Winkler M, Sneider MB. Impact of pixel value truncation on image quality of low dose chest CT. Med Phys. 2022 49(5):2979-2994.
11. Ishita Y, Urikura A, Yoshida T, Takiguchi K, Ikegaya M. Inaccurate table height setting affects the organ-specific radiation dose in computed tomography. Eur J Radiol. 2022;151:110317.
12. Nakaichi T, Okamoto H, Kon M, Takaso K, Aikawa A, Nakamura S, Ijima K, Chiba T, Nakayama H, Takemori M, Mikasa S, Fujii K, Urago Y, Goka T, Shimizu Y, Igaki H. Commissioning and performance evaluation of commercially available mobile imager for image guided total body irradiation. J Appl Clin Med Phys. 2022 26:e13865.

論文（査読なし）

1. 瓜倉厚志．手術支援画像作成のためにすべきことは　「CT撮像技術」．日本放射線技術学会撮影部会誌　83 (2024):20-23.
2. A. Urikura, T. Ishihara, Y. Miyamae, S. Sato, H. Nagasawa, T. Yoshida. Can deep learning-based reconstruction improve inplane peripheral spatial resolution in ultra-highresolution computed tomography? Int J CARS (2024) 19:S116–S117.
3. T. Yoshida, A. Urikura, M. Endo, T. Aramaki. Comparison of the abdominal computed diffusionweighted imaging between different software: a phantom study. Int J CARS (2024) 19:S117–S118.
4. T. Yoshida, A. Urikura, M. Endo, T. Aramaki. Correction software of ADC bias induced by gradient non-linearity in DWI: breast phantom study. Int J CARS (2023) 18:S92–S93.
5. A. Urikura, Y. Miyauchi, T. Yoshida, Y. Ishita, K. Takiguchi, T. Aramaki. Patient positioning assistance applicable to existing computed tomography systems. Int J CARS (2023) 18:S100.
6. 瓜倉厚志．基本的なCT撮像の再考．特集2　がん・常識は変わる～進化する医療と進歩する技術～RadFan 2023:21(2):65-49.
7. 石原敏裕．がん診療に求めるCT技術．インナービジョン．37(10): 54–57. 2022．
8. 瓜倉厚志．腹部領域における価値．インナービジョン．37(10): 32–36. 2022．
9. 石井郁也．CT画像をIVRで活かす - 撮影・画像処理の創意工夫 -．37(10): 18–22. 2022．
10. 宮前裕太．誌上口座3ディープラーニングとX線CT（AI活用術）1．日本診療放射線技師会誌．69(829):223–228.
11. 宮前裕太．Deep Learning-based Reconstructionを用いたX線CT画像の画質特性評価および患者の被ばく線量低減の可能性について．医療の広場．63(3):15–18.
12. 瓜倉厚志．非剛体サブトラクションCTを用いたiodine imageの定量性と臨床応用．日獨医報 2022; 66(1): 25-37.