Updated on 2024/09/20

Information

 

写真a

 
KONDOU MASATOSHI
 
Organization
Faculty of Medical Sciences Department of Health Sciences Professor
School of Medicine Department of Health Sciences(Concurrent)
Graduate School of Medical Sciences Department of Health Sciences(Concurrent)
Title
Professor
Profile
Education: Lecture for students, experiments / practices, graduation research. Reseach: Development of image quality assessment and quantitative assessment on CT and MRI images. Clinical: Radiological technologist in Kyushu University Hospital
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Research Areas

  • Life Science / Radiological sciences

Degree

  • Ph.D.

Research History

  • 九州大学大学院 医学研究院保健学部門医用量子線科学分野 教授

    2024.4 - Present

Research Interests・Research Keywords

  • Research theme:Dual Energy CT

    Keyword:Dual Energy CT

    Research period: 2024

  • Research theme:Inverse Problem of dual Energy CT by using monocromatic images

    Keyword:Dual energy CT

    Research period: 2022.4 - 2025.3

  • Research theme:Histogram analysis for quantitative analysis on Synthetic MRI images

    Keyword:Synthetic MRI

    Research period: 2022.4 - 2024.3

Awards

  • 2022 年度 優秀査読者賞

    2023.4   公益社団法人 日本医学物理学会  

  • 2022 年度 優秀査読者賞

    2023.4   公益社団法人 日本医学物理学会  

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  • 内田論文賞

    2019.6   医用画像情報学会   遺伝子と画像特徴量を用いた膠芽腫の予後予測

  • 金森奨励賞

    2007.6   医用画像情報学会   濃度勾配ベクトル解析を用いた模擬石灰化像の自動画質評価法

Papers

  • The Feasibility of Deep Learning-Based Reconstruction for Low-Tube-Voltage CT Angiography for Transcatheter Aortic Valve Implantation. International journal

    Tsukasa Kojima, Yuzo Yamasaki, Yuko Matsuura, Ryoji Mikayama, Takashi Shirasaka, Masatoshi Kondo, Takeshi Kamitani, Toyoyuki Kato, Kousei Ishigami, Hidetake Yabuuchi

    Journal of computer assisted tomography   48 ( 1 )   77 - 84   2023.8   ISSN:03638715

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    Language:English   Publishing type:Research paper (scientific journal)  

    OBJECTIVE: The purpose of this study is to evaluate the efficacy of deep learning reconstruction (DLR) on low-tube-voltage computed tomographic angiography (CTA) for transcatheter aortic valve implantation (TAVI). METHODS: We enrolled 30 patients who underwent TAVI-CT on a 320-row CT scanner. Electrocardiogram-gated coronary CTA (CCTA) was performed at 100 kV, followed by nongated aortoiliac CTA at 80 kV using a single bolus of contrast material. We used hybrid-iterative reconstruction (HIR), model-based IR (MBIR), and DLR to reconstruct these images. The contrast-to-noise ratios (CNRs) were calculated. Five-point scales were used for the overall image quality analysis. The diameter of the aortic annulus was measured in each reconstructed image, and we compared the interobserver and intraobserver agreements. RESULTS: In the CCTA, the CNR and image quality score for DLR were significantly higher than those for HIR and MBIR (P < 0.01). In the aortoiliac CTA, the CNR for DLR was significantly higher than that for HIR (P < 0.01) and significantly lower than that for MBIR (P ≤ 0.02). The image quality score for DLR was significantly higher than that for HIR (P < 0.01). No significant differences were observed between the image quality scores for DLR and MBIR. The measured aortic annulus diameter had high interobserver and intraobserver agreement regardless of the reconstruction method (all intraclass correlation coefficients, >0.89). CONCLUSIONS: In low tube voltage TAVI-CT, DLR provides higher image quality than HIR, and DLR provides higher image quality than MBIR in CCTA and is visually comparable to MBIR in aortoiliac CTA.

    DOI: 10.1097/RCT.0000000000001525

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  • Deep learning reconstructionを用いた腹部単純CTにおける放射線被ばく低減の可能性

    鬼塚 泰裕, 酒井 友貴, 白坂 崇, 近藤 雅敏, 加藤 豊幸

    日本放射線技術学会雑誌   79 ( 5 )   446 - 452   2023.5   ISSN:0369-4305

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    Language:Japanese   Publisher:(公社)日本放射線技術学会  

    ファントムを用いて臨床に近い条件で肝細胞癌(HCC)を想定したCT画像を取得し、深層学習ベースの再構成アルゴリズム(DLR)の低コントラスト検出能を評価することで腹部単純CTの放射線被ばく低減が可能であるか検討した。正常サイズの腹部を想定して、楕円形の環状体を取り付けたCatphan 600ファントムを使用した。DLRにおいて、撮影線量が低くなるほど低周波のnoise power spectrum(NPS)は高い値を示す傾向がみられた。高周波数領域においては撮影線量によらず一定の値を示す傾向がみられ、モデルベース逐次近似再構成法(MBIR)においては全周波数領域で撮影線量が低くなるほどNPSは低い値を示す傾向がみられた。視覚評価では、すべての撮影条件でDLRの低コントラスト検出能がMBIRと同等もしくは優れていた。HCCと想定した5mmモジュールを検出できた最小線量はDLRで150mA、MBIRで250mAであった。DLRを用いることで画質を担保したまま放射線量を低減できる可能性があることが示された。

  • [Possible Radiation Dose Reduction in Abdominal Plain CT Using Deep Learning Reconstruction].

    Yasuhiro Onizuka, Yuki Sakai, Takashi Shirasaka, Masatoshi Kondo, Toyoyuki Kato

    Nihon Hoshasen Gijutsu Gakkai zasshi   79 ( 5 )   446 - 452   2023.3   ISSN:03694305 eISSN:18814883

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japanese Society of Radiological Technology  

    <p><i>Purpose</i>: The purposes of this study were to evaluate the low-contrast detectability of CT images assuming hepatocellular carcinoma and to determine whether dose reduction in abdominal plain CT imaging is possible. <i>Methods</i>: A Catphan 600 was imaged at 350, 250, 150, and 50 mA using an Aquilion ONE PRISM Edition (Canon) and reconstructed using deep learning reconstruction (DLR) and model-based iterative reconstruction (MBIR). A low-contrast object-specific contrast-to-noise ratio (CNR<sub>LO</sub>) was measured and compared in a 5-mm module with a CT value difference of 10 HU, assuming hepatocellular carcinoma; a visual examination was also performed. Moreover, an NPS within a uniform module was measured. <i>Results</i>: CNR<sub>LO</sub> was higher for DLR at all doses (1.12 at 150 mA for DLR and 1.07 at 250 mA for MBIR). On visual evaluation, DLR could detect up to 150 mA and MBIR up to 250 mA. The NPS was lower for DLR at 0.1 cycles/mm at 150 mA. <i>Conclusion</i>: The low-contrast detection performance was better with DLR than with MBIR, indicating the possibility of dose reduction.</p>

    DOI: 10.6009/jjrt.2023-1289

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  • Characteristics of the deep learning-based virtual monochromatic image with fast kilovolt-switching CT: a phantom study.

    Yuna Katsuyama, Tsukasa Kojima, Takashi Shirasaka, Masatoshi Kondo, Toyoyuki Kato

    Radiological physics and technology   16 ( 1 )   77 - 84   2023.3

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    PURPOSE: We assessed the physical properties of virtual monochromatic images (VMIs) obtained with different energy levels in various contrast settings and radiation doses using deep learning-based spectral computed tomography (DL-Spectral CT) and compared the results with those from single-energy CT (SECT) imaging. MATERIALS AND METHODS: A Catphan® 600 phantom was scanned by DL-Spectral CT at various radiation doses. We reconstructed the VMIs obtained at 50, 70, and 100 keV. SECT (120 kVp) images were acquired at the same radiation doses. The standard deviations of the CT number and noise power spectrum (NPS) were calculated for noise characterization. We evaluated the spatial resolution by determining the 10% task-based transfer function (TTF) level, and we assessed the task-based detectability index (d'). RESULTS: Regardless of the radiation dose, the noise was the lowest at 70 keV VMI. The NPS showed that the noise amplitude at all spatial frequencies was the lowest among other VMI and 120 kVp images. The spatial resolution was higher for 70 keV VMI compared to the other VMIs, except for high-contrast objects. The d' of 70 keV VMI was the highest among the VMI and 120 kVp images at all radiation doses and contrast settings. The d' of the 70 keV VMIs at the minimum dose was higher than that at the maximum dose in any other image. CONCLUSION: The physical properties of the DL-Spectral CT VMIs varied with the energy level. The 70 keV VMI had the highest detectability by far among the VMI and 120-kVp images. DL-Spectral CT may be useful to reduce radiation doses.

    DOI: 10.1007/s12194-022-00695-x

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  • Importance of the heart rate in ultra-high-resolution coronary CT angiography with 0.35 s gantry rotation time

    Tsukasa Kojima, Takashi Shirasaka, Yuzo Yamasaki, Masatoshi Kondo, Hiroshi Hamasaki, Ryoji Mikayama, Yuki Sakai, Toyoyuki Kato, Akihiro Nishie, Kousei Ishigami, Hidetake Yabuuchi

    JAPANESE JOURNAL OF RADIOLOGY   40 ( 8 )   781 - 790   2022.4   ISSN:1867-1071 eISSN:1867-108X

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:SPRINGER  

    Purpose We investigated the effects of the heart rate (HR) on the motion artifact in coronary computed tomography angiography (CCTA) with ultra-high-resolution-CT (U-HRCT), and we clarified the upper limit of optimal HR in CCTA with U-HRCT in a comparison with conventional-resolution-CT (CRCT) on a cardiac phantom and in patients with CCTA.Materials and methods A pulsating cardiac phantom equipped with coronary models was scanned at static and HR simulations of 40-90 beats/min (bpm) at 10-bpm intervals using U-HRCT and CRCT, respectively. The sharpness and lumen diameter of the coronary model were quantitatively compared between U-HRCT and CRCT stratified by HR in the phantom study. We also assessed the visual inspections of clinical images in CCTA with U-HRCT.Results At the HRs <= 60 bpm, the error of the lumen diameter of the U-HRCT tended to be smaller than that of the CRCT. However, at the HRs > 60 bpm, the inverse was shown. For the image sharpness, the U-HRCT was significantly superior to the CRCT (p < 0.05). In the visual assessment, the scores were negatively correlated with HRs in patients (Spearman r= - 0.71, p < 0.01). A receiver-operating characteristic analysis revealed the HR of 61 bpm as the optimal cutoff of the non-diagnostic image quality, with an area under the curve of 0.87, 95% sensitivity, and 71% specificity.Conclusion At HRs <= 60 bpm, U-HRCT was more accurate in the imaging of coronary arteries than CRCT. The upper limit of the optimal HR in CCTA with U-HRCT was approx. 60 bpm.

    DOI: 10.1007/s11604-022-01265-2

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  • Deep-learning reconstruction for ultra-low-dose lung CT: Volumetric measurement accuracy and reproducibility of artificial ground-glass nodules in a phantom study. International journal

    Ryoji Mikayama, Takashi Shirasaka, Tsukasa Kojima, Yuki Sakai, Hidetake Yabuuchi, Masatoshi Kondo, Toyoyuki Kato

    The British journal of radiology   95 ( 1130 )   20210915 - 20210915   2022.2

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    OBJECTIVES: The lung nodule volume determined by CT is used for nodule diagnoses and monitoring tumor responses to therapy. Increased image noise on low-dose CT degrades the measurement accuracy of the lung nodule volume. We compared the volumetric accuracy among deep-learning reconstruction (DLR), model-based iterative reconstruction (MBIR), and hybrid iterative reconstruction (HIR) at an ultra-low-dose setting. METHODS: Artificial ground-glass nodules (6 mm and 10 mm diameters, -660 HU) placed at the lung-apex and the middle-lung field in chest phantom were scanned by 320-row CT with the ultra-low-dose setting of 6.3 mAs. Each scan data set was reconstructed by DLR, MBIR, and HIR. The volumes of nodules were measured semi-automatically, and the absolute percent volumetric error (APEvol) was calculated. The APEvol provided by each reconstruction were compared by the Tukey-Kramer method. Inter- and intraobserver variabilities were evaluated by a Bland-Altman analysis with limits of agreements. RESULTS: DLR provided a lower APEvol compared to MBIR and HIR. The APEvol of DLR (1.36%) was significantly lower than those of the HIR (8.01%, p = 0.0022) and MBIR (7.30%, p = 0.0053) on a 10-mm-diameter middle-lung nodule. DLR showed narrower limits of agreement compared to MBIR and HIR in the inter- and intraobserver agreement of the volumetric measurement. CONCLUSIONS: DLR showed higher accuracy compared to MBIR and HIR for the volumetric measurement of artificial ground-glass nodules by ultra-low-dose CT. ADVANCES IN KNOWLEDGE: DLR with ultra-low-dose setting allows a reduction of dose exposure, maintaining accuracy for the volumetry of lung nodule, especially in patients which deserve a long-term follow-up.

    DOI: 10.1259/bjr.20210915

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  • Low-radiation dose scan protocol for preoperative imaging for dental implant surgery using deep learning-based reconstruction in multidetector CT.

    Yuki Sakai, Erina Kitamoto, Kazutoshi Okamura, Shinya Takarabe, Takashi Shirasaka, Ryoji Mikayama, Masatoshi Kondo, Masato Tatsumi, Tsukasa Kojima, Toyoyuki Kato, Kazunori Yoshiura

    Oral radiology   38 ( 4 )   517 - 526   2022.1

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    OBJECTIVES: This study aimed to investigate the impact of a deep learning-based reconstruction (DLR) technique on image quality and reduction of radiation exposure, and to propose a low-dose multidetector-row computed tomography (MDCT) scan protocol for preoperative imaging for dental implant surgery. METHODS: The PB-1 phantom and a Catphan phantom 600 were scanned using volumetric scanning with a 320-row MDCT scanner. All scans were performed with a tube voltage of 120 kV, and the tube current varied from 120 to 60 to 40 to 30 mA. Images of the mandible were reconstructed using DLR. Additionally, images acquired with the 120-mA protocol were reconstructed using filtered back projection as a reference. Two observers independently graded the image quality of the mandible images using a 4-point scale (4, superior to reference; 1, unacceptable). The system performance function (SPF) was calculated to comprehensively evaluate image quality. The Wilcoxon signed-rank test was employed for statistical analysis, with statistical significance set at p value < 0.05. RESULTS: There was no significant difference between the image quality acquired with the 40-mA tube current and reconstructed with the DLR technique (40DLR), and that acquired with the reference protocol (3.00, 3.00, p = 1.00). The SPF at 1.0 cycles/mm acquired with 40DLR was improved by 156.7% compared to that acquired with the reference protocol. CONCLUSIONS: Our proposed protocol, which achieves a two-thirds reduction in radiation dose, can provide a minimally invasive MDCT scan of acceptable image quality for dental implant surgery.

    DOI: 10.1007/s11282-021-00584-w

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  • Image quality improvement with deep learning-based reconstruction on abdominal ultrahigh-resolution CT: A phantom study. International journal

    Takashi Shirasaka, Tsukasa Kojima, Yoshinori Funama, Yuki Sakai, Masatoshi Kondo, Ryoji Mikayama, Hiroshi Hamasaki, Toyoyuki Kato, Yasuhiro Ushijima, Yoshiki Asayama, Akihiro Nishie

    Journal of applied clinical medical physics   22 ( 7 )   286 - 296   2021.7

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    DOI: 10.1002/acm2.13318

  • Metal artefact reduction in the oral cavity using deep learning reconstruction algorithm in ultra-high-resolution computed tomography: a phantom study. International journal

    Yuki Sakai, Erina Kitamoto, Kazutoshi Okamura, Masato Tatsumi, Takashi Shirasaka, Ryoji Mikayama, Masatoshi Kondo, Hiroshi Hamasaki, Toyoyuki Kato, Kazunori Yoshiura

    Dento maxillo facial radiology   50 ( 7 )   20200553 - 20200553   2021.4

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    DOI: 10.1259/dmfr.20200553

  • A novel fast kilovoltage switching dual-energy CT with deep learning: Accuracy of CT number on virtual monochromatic imaging and iodine quantification. International journal

    Tsukasa Kojima, Takashi Shirasaka, Masatoshi Kondo, Toyoyuki Kato, Akihiro Nishie, Kousei Ishigami, Hidetake Yabuuchi

    Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)   81   253 - 261   2021.1

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    DOI: 10.1016/j.ejmp.2020.12.018

  • Improved scan method for dental imaging using multidetector computed tomography: a phantom study. International journal

    Yuki Sakai, Kazutoshi Okamura, Erina Kitamoto, Yukiko N Kami, Takashi Shirasaka, Ryoji Mikayama, Masato Tatsumi, Masatoshi Kondo, Toyoyuki Kato, Kazunori Yoshiura

    Dento maxillo facial radiology   49 ( 6 )   20190462 - 20190462   2020.9

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    DOI: 10.1259/dmfr.20190462

  • Improved visualization of a fine intrahepatic biliary duct on drip infusion cholangiography-computed tomography: Impact of knowledge-based iterative model reconstruction. Reviewed International journal

    Seiichiro Takao, Akihiro Nishie, Yoshiki Asayama, Kousei Ishigami, Yasuhiro Ushijima, Daisuke Kakihara, Tomohiro Nakayama, Nobuhiro Fujita, Koichiro Morita, Keisuke Ishimatsu, Tomoharu Yoshizumi, Toru Ikegami, Masatoshi Kondo, Hiroshi Honda

    Hepatology research : the official journal of the Japan Society of Hepatology   50 ( 5 )   629 - 634   2020.5

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    DOI: 10.1111/hepr.13477

  • Effect of scan mode and focal spot size in airway dimension measurements for ultra-high-resolution computed tomography of chronic obstructive pulmonary disease: A COPDGene phantom study. Reviewed International journal

    Ryoji Mikayama, Takashi Shirasaka, Hidetake Yabuuchi, Yuki Sakai, Tsukasa Kojima, Masatoshi Kondo, Hideki Yoshikawa, Toyoyuki Kato

    Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)   70   102 - 108   2020.2

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    DOI: 10.1016/j.ejmp.2019.12.025

  • Low radiation dose and high image quality of 320-row coronary CT angiography using a small dose of contrast medium and refined scan timing prediction Reviewed International journal

    Shirasaka T, Nagao M, Yamasaki Y, Kojima T, Kondo M, Hamasaki H, Kamitani T, Kato T, Asayama Y

    Journal of Computer Assisted Tomography   in press ( 1 )   7 - 12   2019.9

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    Low radiation dose and high image quality of 320-row coronary CT angiography using a small dose of contrast medium and refined scan timing prediction
    OBJECTIVE: The aim of the study was to investigate the feasibility of coronary computed tomography (CT) angiography with a low kilovoltage peak scan and a refined scan timing prediction using a small contrast medium (CM) dose. METHODS: In protocol A, 120-kVp scanning and a standard CM dose were used. The scan timing was fixed. In protocol B, 80 kVp and a 60&#37; CM dose were used. The scan timing was determined according to the interval from the CM arrival to the peak time in the ascending aorta. We measured the CT number and recorded the radiation dose. RESULTS: Higher CT numbers were observed in the left circumflex (proximal, P = 0.0235; middle, P = 0.0007; distal, P < 0.0001) in protocol B compared with protocol A. The radiation dose in protocol B was significantly lower than in protocol A (2.2 ± 0.9 vs 4.3 ± 1.7 mSv). CONCLUSIONS: Low-contrast, low-radiation dose, high-image quality coronary CT angiography can be performed with low kilovoltage peak scanning and a refined scan timing prediction.

    DOI: 10.1097/RCT.0000000000000951

  • 高精細CTを用いた冠動脈ステントの内腔評価における心拍数の影響

    安松 昇悟, 小島 宰, 白坂 崇, 近藤 雅敏, 加藤 豊幸

    日本放射線技術学会雑誌   75 ( 9 )   977 - 977   2019.9

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  • Feasible scan timing for 320-row coronary CT angiography generated by the time to peak in the ascending aorta. Reviewed

    Shirasaka T, Nagao M, Yamasaki Y, Kojima T, Kondo M, Shimomiya Y, Kamitani T, Honda H

    Clinical imaging   54   153 - 158   2019.3

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    Feasible scan timing for 320-row coronary CT angiography generated by the time to peak in the ascending aorta.
    Purpose: A 320-row CT scanner can briefly scan the entire heart. Therefore, the feasible scan timing is required. The aim of this study was to propose a refined method for feasible scan timing for coronary CT angiography (CCTA) using a time-density curve of the ascending aorta (AAo).Methods: One-hundred and twenty-nine patients were prospectively enrolled. All patients were performed test bolus method. For the initial 65 patients, the scan timing was determined as a 3.0 s delay at the peak time in the AAo, which was defined as the conventional protocol (COV-P). For the next 64 patients, a scan timing of 1.0, 3.0, or 5.0 s delay was determined according to the interval from the contrast media arrival to peak time in the AAo, which was defined as the arrival to peak protocol (AP-P). The optimal scan timing was identified by the measurement of CT number in the left atrium, left ventricle, AAo, and descending aorta. The coronary enhancement and heterogeneity were compared between the two protocols.Results: The optimal scan timing was significantly higher in the AP-P than in the COV-P (85.9&#37; vs. 61.5&#37;, p = 0.0017). The CT number in the left circumflex artery (LCX) was significantly higher in the AP-P than the COV-P (344.5 Hounsfield units vs. 316.3 Hounsfield units, p = 0.0484). The heterogeneous index of the LCX was significantly greater for the COV-P than the AP-P (-36.8 vs. -25.8, p = 0.0028).Conclusions: The AP-P can be used to determine the optimal scan timing for CCTA and contributes to stable coronary enhancement.

    DOI: 10.1016/j.clinimag.2019.01.005

  • Dynamic Coronary 320-Row CT Angiography Using Low-Dose Contrast and Temporal Maximum Intensity Projection: A Comparison with Standard Coronary CT Angiography Reviewed

    Kojima T, Yamasaki Y, Kamitani T, Yabuuchi H, Shirasaka T, Shimomiya Y, Kondo M, Hamasaki H, Kato T, Nagao M, Honda H

    Cardiovascular Imaging Asia   3 ( 1 )   1 - 7   2019.1

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    Dynamic Coronary 320-Row CT Angiography Using Low-Dose Contrast and Temporal Maximum Intensity Projection: A Comparison with Standard Coronary CT Angiography

    DOI: 10.22468/cvia.2018.00213

  • Impact of hybrid iterative reconstruction on unenhanced liver CT. Reviewed International journal

    Kondo M, Nishie A, Fujita N, Morita K, Shirasaka T, Arimura H, Nakamura Y, Honda H.

    Br J Radiol.   2016.12

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    DOI: 10.1259/bjr.20150670

  • Low-dose CT screening using hybrid iterative reconstruction: confidence ratings of diagnoses of simulated lesions other than lung cancer. International journal

    N Sakai, H Yabuuchi, M Kondo, Y Matsuo, T Kamitani, M Nagao, M Jinnouchi, M Yonezawa, T Kojima, Y Yano, H Honda

    The British journal of radiology   88 ( 1053 )   20150159 - 20150159   2015.9

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    DOI: 10.1259/bjr.20150159

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Books

  • 医用画像検査技術学 第4版

    杜下 淳次、加藤 豊幸、(分担執筆:近藤 雅敏)

    2020.11 

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    Language:Japanese  

  • Brilliance CTのソリューションと将来展望

    近藤 雅敏, Mehta Dhruv

    2007.10 

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    Language:Japanese   Book type:Scholarly book

  • 64 列マルチスライス CT の可能性を引き出す

    近藤 雅敏

    映像情報Medical  2006.10 

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    Language:Japanese   Book type:Scholarly book

Presentations

  • デュアルエナジーCTにおける仮想単色X線画像からのヨード密度値の逆推定

    近藤雅敏, #本松晃, #葛貫千絵, #林真優, @舩津亮平, @白坂崇, @加藤豊幸

    令和5年度春期(第198回)大会  2024.2 

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    Event date: 2024.2

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    Venue:九州大学   Country:Japan  

  • デュアルエナジーCTにおける仮想単色X線画像からのヨード密度値の逆推定

    近藤雅敏, 本松晃, 葛貫千絵, 林真優, 舩津亮平, 白坂崇, 加藤豊幸

    令和5年度春期(第198回)大会  2024.2 

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    Event date: 2024.2

    Language:Japanese  

    Venue:九州大学   Country:Japan  

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  • 実効原子番号の算出と基準物質密度画像のノイズ低減との関係

    近藤雅敏, #本松晃, #葛貫千絵, #林真優, @舩津亮平, @白坂崇, @加藤豊幸

    第18回 九州放射線医療技術学術大会  2023.11 

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    Event date: 2023.11

    Language:Japanese  

    Venue:J:COMホルトホール大分   Country:Japan  

  • 実効原子番号の算出と基準物質密度画像のノイズ低減との関係

    近藤雅敏, 本松晃, 葛貫千絵, 林真優, 舩津亮平, 白坂崇, 加藤豊幸

    第18回 九州放射線医療技術学術大会  2023.11 

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    Event date: 2023.11

    Language:Japanese  

    Venue:J:COMホルトホール大分   Country:Japan  

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  • デュアルエナジーCTの仮想単色X線画像によるヨード密度値の逆推定

    近藤雅敏, #本松晃, #葛貫千絵, #林真優, @舩津亮平, @白坂崇, @加藤豊幸

    第51回日本放射線技術学会秋季学術大会  2023.10 

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    Venue:名古屋国際会議場   Country:Japan  

  • デュアルエナジーCTの仮想単色X線画像によるヨード密度値の逆推定

    近藤雅敏, 本松晃, 葛貫千絵, 林真優, 舩津亮平, 白坂崇, 加藤豊幸

    第51回日本放射線技術学会秋季学術大会  2023.10 

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    Venue:名古屋国際会議場   Country:Japan  

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  • デュアルエナジーCTでの仮想単色X線画像を用いたヨード密度値の逆推定

    近藤雅敏、#本松晃、#中村美咲、@赤嶺寛地、@小島宰、@舩津亮平、@白坂崇、@加藤豊幸

    第17回九州放射線医療技術学術大会  2022.11 

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    Event date: 2022.11

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    Venue:アクロス福岡   Country:Japan  

  • デュアルエナジーCTでの仮想単色X線画像を用いたヨード密度値の逆推定

    近藤雅敏, 本松晃, 中村美咲, 赤嶺寛地, 小島宰, 舩津亮平, 白坂崇, 加藤豊幸

    第17回九州放射線医療技術学術大会  2022.11 

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    Venue:アクロス福岡   Country:Japan  

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  • Situations and reuse of dual-energy CT data Invited

    Masatoshi Kondo

    Symposium on Intelligent Data Science for Radiological Imaging (iDSRI) between Universiti Malaya and Kyushu University  2022.9 

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    Event date: 2022.9

    Language:English   Presentation type:Symposium, workshop panel (nominated)  

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  • 超高精細CTにおけるDeep Learning Reconstructionを用いた画質の改善 体幹部撮影を想定したファントム実験

    酒井 友貴, 鬼塚 泰裕, 白坂 崇, 舩津 亮平, 近藤 雅敏, 加藤 豊幸

    日本放射線技術学会総会学術大会予稿集  2022.3  (公社)日本放射線技術学会

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  • 線質効果現象がdual-energy CTの仮想単色X線画像による電子密度の逆推定に与える影響

    本松 晃, 近藤 雅敏, 林 真優, 葛貫 千絵, 船津 亮平, 白坂 崇, 加藤 豊幸

    日本放射線技術学会総会学術大会予稿集  2024.3  (公社)日本放射線技術学会

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  • デュアルエナジーCTの仮想単色X線画像によるヨード密度値の逆推定

    近藤 雅敏, 本松 晃, 葛貫 千絵, 林 真優, 舩津 亮平, 白坂 崇, 加藤 豊幸

    日本放射線技術学会雑誌  2023.9  (公社)日本放射線技術学会

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  • Dual-energy CTの仮想単色X線画像による実効原子番号の逆推定

    近藤 雅敏, 林 真優, 本松 晃, 葛貫 千絵, 舩津 亮平, 白坂 崇, 加藤 豊幸

    日本放射線技術学会総会学術大会予稿集  2024.3  (公社)日本放射線技術学会

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  • Dual energy CTにおいて脂肪含有率がvirtual non-contrast画像に及ぼす影響

    山根 志穂, 近藤 雅敏, 日置 一仁, 白坂 崇, 加藤 豊幸

    日本CT技術学会雑誌  2022.7  (NPO)日本CT技術学会

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  • Deep learningを用いたDual energy CTにおける仮想単色X線画像の画質評価

    勝山 裕菜, 小島 宰, 白坂 崇, 近藤 雅敏, 加藤 豊幸

    日本CT技術学会雑誌  2022.7  (NPO)日本CT技術学会

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  • Dual energy CTにおいて脂肪含有率がvirtual non-contrast画像に及ぼす影響

    山根 志穂, 近藤 雅敏, 日置 一仁, 白坂 崇, 加藤 豊幸

    日本CT技術学会雑誌   2022.7

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  • Deep learningを用いたDual energy CTにおける仮想単色X線画像の画質評価

    勝山 裕菜, 小島 宰, 白坂 崇, 近藤 雅敏, 加藤 豊幸

    日本CT技術学会雑誌   2022.7

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  • Deep learningを用いたDual energy CTにおける仮想単色X線画像の画質評価

    勝山 裕菜, 小島 宰, 白坂 崇, 近藤 雅敏, 加藤 豊幸

    日本CT技術学会雑誌   第10回学術大会予稿集   18 - 18   2022.7   ISSN:2434-2769 eISSN:2434-2750

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  • Dual energy CTにおいて脂肪含有率がvirtual non-contrast画像に及ぼす影響

    山根 志穂, 近藤 雅敏, 日置 一仁, 白坂 崇, 加藤 豊幸

    日本CT技術学会雑誌   第10回学術大会予稿集   21 - 21   2022.7   ISSN:2434-2769 eISSN:2434-2750

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  • 超高精細CTにおけるDeep Learning Reconstructionを用いた画質の改善 体幹部撮影を想定したファントム実験

    酒井 友貴, 鬼塚 泰裕, 白坂 崇, 舩津 亮平, 近藤 雅敏, 加藤 豊幸

    日本放射線技術学会総会学術大会予稿集   2022.3

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  • 超高精細CTにおけるDeep Learning Reconstructionを用いた画質の改善 体幹部撮影を想定したファントム実験

    酒井 友貴, 鬼塚 泰裕, 白坂 崇, 舩津 亮平, 近藤 雅敏, 加藤 豊幸

    日本放射線技術学会総会学術大会予稿集   2022.3

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  • 超高精細CTにおけるDeep Learning Reconstructionを用いた画質の改善 体幹部撮影を想定したファントム実験

    酒井 友貴, 鬼塚 泰裕, 白坂 崇, 舩津 亮平, 近藤 雅敏, 加藤 豊幸

    日本放射線技術学会総会学術大会予稿集   78回   171 - 172   2022.3   ISSN:1884-7846

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  • 超高精細CTにおけるDeep Learning Reconstructionを用いた画質の改善 体幹部撮影を想定したファントム実験

    酒井 友貴, 鬼塚 泰裕, 白坂 崇, 舩津 亮平, 近藤 雅敏, 加藤 豊幸

    日本放射線技術学会総会学術大会予稿集   78回   171 - 172   2022.3   ISSN:1884-7846

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  • 低線量CTにおけるDeep Learning Reconstructionを用いた肺結節体積測定の検討:Phantom Study

    三賀山 諒司, 白坂 崇, 藪内 英剛, 小島 宰, 酒井 友貴, 近藤 雅敏, 加藤 豊幸

    日本放射線技術学会総会学術大会予稿集   2021.3

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  • Deep Learning Reconstructionを用いた低線量CT撮影法の検討 インプラント術前撮影を想定したファントム実験

    酒井 友貴, 北本 江梨奈, 鬼塚 泰裕, 白坂 崇, 近藤 雅敏, 辰見 正人, 加藤 豊幸

    日本放射線技術学会総会学術大会予稿集   2021.3

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  • 超高精細CTを用いたsuper high resolutionモードにおける低コントラスト分解能の検討

    安松 昇悟, 酒井 友貴, 近藤 雅敏, 白坂 崇, 加藤 豊幸

    日本CT技術学会雑誌   2020.10

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  • 超高精細CTにおける腹部dynamic CTの画質向上; deep learning 応用再構成の画質評価

    白坂崇, 浅山良樹, 船間芳憲, 酒井友貴, 小島宰, 三賀山諒司, 日置一仁, 近藤雅敏, 加藤豊幸, 西江昭弘

    日本CT技術学会 第7回学術大会予稿集   2019.6

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  • 超高精細CTを用いたDual energy CT angiographyにおけるカルシウム除去精度の向上

    白坂崇, 船間芳憲, 小島宰, 酒井友貴, 三賀山諒司, 近藤雅敏, 加藤豊幸

    日本放射線技術学会総会学術大会予稿集   2019.3

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  • 遺伝子と画像特徴量を用いた膠芽腫の予後予測

    近藤 雅敏, 幸野 佑光子, 金子 沙世, 内山 良一

    医用画像情報学会雑誌   2018.3

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    <p>Technologies of computer-aided diagnosis(CAD)have been applied to the detection or differential diagnosis of lesions so far. However, there are few cases where CAD technology is applied to therapy. The purpose of this study is to propose a method for the prognostic prediction of glioblastomas by using genes and image features. Our database consists of messenger RNAs(mRNAs), MR images and survival times obtained from 62 patients(41 males, 21 females).First,we selected 20 genes from 12042 mRNA, which were having small Deviance residuals in the univariate Cox regression. After the tumor regions in MR images were manually segmented, we calculated 94 image features such as size, shape, pixel value,and texture in the segmented tumor regions. Twenty image features were selected by the same manner used in the selection of genes. We estimated the survivor functions for 62 patients by using Cox regression with selected genes and image features. The outputs of Cox regression were evaluated by using the time-dependent receiver operating characteristic (ROC)analysis. The experimental result showed that the time-specific area under the curve AUC(t)exceeded 0.82 when the survival time less than 296 days. Because our method can provide objective information about the patient&#039;s prognosis, it would be useful for assisting in the determination of suitable treatment of brain tumor patients.</p>

    DOI: 10.11318/mii.35.12

  • 冠動脈ステントの内腔評価における超高精細CTの撮影モードの影響

    小島宰, 白坂崇, 船間芳憲, 濱崎洋志, 松本亮二, 近藤雅敏, 吉川英樹

    日本放射線技術学会総会学術大会予稿集   2018.3

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  • 超高精細CTの撮影モードと焦点サイズが画質に与える影響

    三賀山諒司, 白坂崇, 酒井友貴, 小島宰, 吉川英樹, 近藤雅敏, 梅津芳幸

    日本放射線技術学会総会学術大会予稿集   2018.3

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  • 超高精細CTの撮影モードと焦点サイズが画質に与える影響

    三賀山諒司, 白坂崇, 酒井友貴, 小島宰, 吉川英樹, 近藤雅敏, 梅津芳幸

    日本放射線技術学会総会学術大会予稿集   2018.3

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  • 超高精細CTを用いた冠動脈CTにおけるHigh kVp撮影の有用性について

    白坂崇, 小島宰, 船間芳憲, 濱崎洋志, 松本亮二, 近藤雅敏, 吉川英樹

    日本放射線技術学会総会学術大会予稿集   2018.3

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  • 超高精細CTを用いた冠動脈CTにおけるHigh kVp撮影の有用性について

    白坂崇, 小島宰, 船間芳憲, 濱崎洋志, 松本亮二, 近藤雅敏, 吉川英樹

    日本放射線技術学会総会学術大会予稿集   2018.3

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  • 冠動脈ステントの内腔評価における超高精細CTの撮影モードの影響

    小島宰, 白坂崇, 船間芳憲, 濱崎洋志, 松本亮二, 近藤雅敏, 吉川英樹

    日本放射線技術学会総会学術大会予稿集   2018.3

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  • 低管電圧撮影と新たなスキャンタイミング決定法による320列冠動脈CT検査:造影剤低減効果の検討

    白坂崇, 長尾充展, 山崎誘三, 小島宰, 下宮大和, 近藤雅敏, 吉川英樹

    日本放射線技術学会総会学術大会予稿集   2018.3

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  • 低管電圧撮影と新たなスキャンタイミング決定法による320列冠動脈CT検査:造影剤低減効果の検討

    白坂崇, 長尾充展, 山崎誘三, 小島宰, 下宮大和, 近藤雅敏, 吉川英樹

    日本放射線技術学会総会学術大会予稿集   2018.3

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  • 超高精細CTを用いた頭部3D-CTAにおける微小血管の描出能の検討

    日置 一仁, 白坂 崇, 近藤 雅敏, 坂井 友貴, 吉川 英樹, 梅津 芳幸

    日本放射線技術学会雑誌   2017.9

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  • 超高精細CTにおける高精細モードと逐次近似応用再構成による画像のSNRと視認性の向上

    酒井 友貴, 白坂 崇, 近藤 雅敏, 松本 亮二, 日置 一仁, 吉川 英樹, 梅津 芳幸

    日本放射線技術学会雑誌   2017.9

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  • テストインジェクション法を用いた冠動脈CT‐Angiographyにおける心機能と大動脈最大濃染時間の関係

    白坂崇, 下之坊俊明, 下宮大和, 濱崎洋志, 近藤雅敏, 吉川英樹, 船間芳憲

    日本放射線技術学会総会学術大会予稿集   2016.2

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  • 応用型逐次近似再構成が単純CTの肝細胞がんの画像診断に与える影響

    近藤雅敏, 西江昭弘, 藤田展宏, 森田孝一郎, 濱崎洋志, 白坂崇, 有村寿男

    日本放射線技術学会総会学術大会予稿集   2015.2

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  • 心臓CTを用いた大動脈弁狭窄の重症度評価

    下宮大和, 長尾充展, 白坂崇, 近藤雅敏, 濱崎洋志, 寳部真也

    日本放射線技術学会雑誌   2014.9

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  • 低被曝線量を用いたCT angiographyにおける逐次近似法の効果

    藤田展宏, 西江昭弘, 浅田良樹, 石神康生, 中島泰宏, 本田浩, 柿原大輔, 高山幸久, 近藤雅敏, 調憲

    2014.2

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  • 256‐slice心臓CTでのsplit‐bolus injectionによる右心室造影効果の向上

    近藤雅敏, 長尾充展, 松尾利明, 白坂崇, 有村寿男

    日本放射線技術学会雑誌   2013.9

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  • 逐次近似再構成法を用いたX線CTにおける線量と低コントラスト検出能の関係

    近藤雅敏, 白坂崇, 粟元伸一, 下宮大和, 濱崎洋志, 有村寿男

    日本放射線技術学会総会学術大会予稿集   2013.2

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  • CT perfusionデータに基づく脳血管CTAにおける動静脈分離の至適撮影タイミングの検討

    白坂崇, 船間芳憲, 近藤雅敏, 濱崎洋志, 下宮大和, 樋渡昭雄

    日本放射線技術学会総会学術大会予稿集   2013.2

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  • CT肺癌検診における逐次近似画像再構成法を用いた低線量撮影:他疾患の画質への影響の検討

    境紀行, 藪内英剛, 近藤雅敏, 松尾芳雄, 小島宰, 本田浩

    日本放射線技術学会総会学術大会予稿集   2013.2

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  • ヘリカルスキャン時のオーバーレンジにおける線量低減機構の評価

    林六計, 白坂崇, 橘雄治, 粟元伸一, 近藤雅敏

    日本放射線技術学会雑誌   2010.9

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  • 広範囲検出器を搭載したCT装置における,新たな線量低減機構(spiral dynamic z‐collimator)の有用性について

    白坂崇, 船間芳憲, 林六計, 栗元伸一, 岩切希代, 近藤雅敏, 橘雄治

    日本放射線技術学会総会学術大会予稿集   2010.2

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  • マルチスライスCT活用法2007 胸部領域におけるCare Cycleの視点で覗いたBrilliance CTの可能性

    近藤雅敏, MEHTA Dhruv

    2007.7

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  • Brilliance CTのソリューションと将来展望 (Multislice CT 2007 BOOK)

    近藤 雅敏, Mehta Dhruv

    映像情報medical   2007.6

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  • Brilliance CTのソリューションと将来展望

    近藤雅敏, MEHTA Dhruv

    映像情報Medical   2007.6

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  • マルチモダリティによるHead & Neck Imaging 2007 【技術編】 それぞれの技術の到達点 頭頸部領域においてBrilliance CTがもたらすソリューション

    近藤雅敏

    2007.3

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  • Spectral CTの誕生

    近藤雅敏, 小酒部洋和, 井口輝樹

    2007.2

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  • CardiacCTAのためのDual Phase Cardiac AECの検討―第1報 動作原理と臨床応用のための基礎的検討―

    小酒部洋和, 近藤雅敏, 桑原貞俊

    日本放射線技術学会総会学術大会予稿集   2007.2

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  • 64列マルチスライスCTの可能性を引き出す (Multislice CT 2006 BOOK)

    近藤 雅敏

    映像情報medical   2006.6

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  • 64列マルチスライスCTの可能性を引き出す

    近藤雅敏

    映像情報Medical   2006.6

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  • マルチスライスCTの現状から未来へ Brilliance CT 64がマルチスライスCTのメリットを最大限に引き出す

    近藤雅敏

    2006.5

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    Language:Japanese  

  • Cardiac Imagingにおけるモダリティ別技術の到達点 循環器における最新技術:Beat to Beat Variable Delay Algorithm

    近藤雅敏

    2006.3

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    Language:Japanese  

  • 濃度勾配ベクトル解析を用いた模擬石灰化像の自動画質評価法

    近藤 雅敏, 篠原 範充, 原 武史, 石栗 一男, 堀田 勝平, 中川 俊明, 周 向栄, 藤田 広志

    医用画像情報学会雑誌 = Japanese journal of imaging and information sciences in medicine   2005.5

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    Language:Japanese  

    We have been developing an automated image quality evaluation method (AIQEM) for quantitative evaluations of specks on the American College of Radiology (ACR) 156 mammographic phantom images. The AIQEM consists of the following two main steps:(a) Extracting speck shadows using a density gradient vector analysis and (b) analyzing a speck signal to noise ratio (SNR) and a size of a speck shadow to detect it as visible or not. In this paper, we describe experimental results of subjective evaluations by nine Japanese experienced radiologic technologists and the AIQEM on forty-two phantom images, and the AIQEM performance and reproductively. As initial results, the AIQEM sensitivities were 98&#37; for 1 facility database and 100&#37; for 21 facilities database for the 3rd group of specks, and 91&#37; for 1 facility database and 95&#37; for 21 facilities database for the 4th group of specks. The AIQEM reproductively for the 3rd group of specks was sufficient for the image quality evaluation. It was concluded that the AIQEM was an effective method for a quantitively image quality evaluation on the ACR 156 mammographic phantom.

    DOI: 10.11318/mii.22.141

  • マンモグラフィ検診におけるコンピュータ支援診断の有用性に関する研究

    篠原範充, 森田孝子, 丹羽多恵, 遠藤登喜子, 原武史, 笠井聡, 近藤雅敏, 藤田広志, 松井航

    日本医用画像工学会大会予稿集(CD-ROM)   2004.8

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    Language:Japanese  

  • マルチスライスヘリカルCTにおける心拍同期再構成の検討 第2報 心拍数の変化に対するX線管回転速度の変化

    辻岡勝美, 明保桂太, 近藤雅敏, 井田義宏, 中井敏昭, 片岡由美, 豊田昭博, 高橋康方, 丹羽正厳

    日本放射線技術学会雑誌   2001.9

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    Language:Japanese  

    DOI: 10.6009/jjrt.KJ00003111300

  • マルチスライスヘリカルCTにおける心拍同期再構成の検討 第1報 心拍数の変化とtime sensitivity profile:TSP

    辻岡勝美, 明保桂太, 近藤雅敏, 井田義宏, 中井敏昭, 片岡由美, 豊田昭博, 高橋康方, 丹羽正厳

    日本放射線技術学会雑誌   2001.9

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    Language:Japanese  

    DOI: 10.6009/jjrt.KJ00003111299

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Professional Memberships

  • 日本放射線技師会

  • MEDICAL IMAGING AND INFORMATION SCIENCES

  • JAPANESE SOCIETY OF RADIOLOGICAL TECHNOLOGY

  • 日本放射線技師会

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Committee Memberships

  • 九州大学   保健学部門地域国際・FD連携委員会  

    2024.4 - 2026.3   

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    Committee type:Other

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  • 九州大学   教務委員会  

    2024.4 - 2026.3   

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    Committee type:Other

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  • 九州大学   医療系総合教育研究センター委員会  

    2024.4 - 2026.3   

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    Committee type:Other

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  • 九州大学   年報委員会  

    2023.4 - 2024.3   

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    Committee type:Other

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  • 九州大学   放射線安全委員会  

    2023.4 - 2024.3   

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    Committee type:Other

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  • 九州大学   保健学部門地域国際・FD連携委員会  

    2022.4 - 2023.3   

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    Committee type:Other

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Academic Activities

  • 実効委員長

    医用画像情報学会 令和5年度春期(第198回)大会  ( 九州大学 ) 2024.2

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    Type:Competition, symposium, etc. 

  • 医用画像情報学会 令和5年度春季(第198回)大会

    Role(s): Planning, management, etc.

    2024.2

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    Type:Competition, symposium, etc. 

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  • 医用画像情報学会 令和5年度春期(第198回)大会

    ( 九州大学 Japan ) 2024.2

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    Type:Competition, symposium, etc. 

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  • Screening of academic papers

    Role(s): Peer review

    2024

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    Type:Peer review 

    Number of peer-reviewed articles in foreign language journals:1

  • Screening of academic papers

    Role(s): Peer review

    2023

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    Type:Peer review 

    Number of peer-reviewed articles in foreign language journals:7

    Number of peer-reviewed articles in Japanese journals:1

  • 実行委員

    第4回日本保健物理学会・日本放射線安全管理学会合同大会  ( 九州大学 ) 2022.11

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    Type:Competition, symposium, etc. 

  • 第4回日本保健物理学会・日本放射線安全管理学会合同大会

    ( 九州大学 Japan ) 2022.11

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  • Screening of academic papers

    Role(s): Peer review

    2022

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    Type:Peer review 

    Number of peer-reviewed articles in foreign language journals:2

    Number of peer-reviewed articles in Japanese journals:2

  • Screening of academic papers

    Role(s): Peer review

    2021

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    Type:Peer review 

    Number of peer-reviewed articles in foreign language journals:2

  • 実行委員長

    医用画像情報学会 平成30年度秋季(第182回)大会  ( 熊本大学 ) 2018.10

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    Type:Competition, symposium, etc. 

  • シンポジスト

    JSCTシンポジウム  2014.8

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    Type:Competition, symposium, etc. 

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Research Projects

Educational Activities

  • Lectures for undergraduate students majoring in Radiological Technology in the Faculty of Health Sciences, lectures for master’s students in the Graduate School of Medical Sciences, practical training and experiments, supervision of graduation research, and guidance for master’s research

Class subject

  • 画像解剖学演習Ⅱ

    2024.6 - 2024.8   Summer quarter

  • 放射線医学技術学概論

    2024.6 - 2024.8   Summer quarter

  • 医用量子線科学特別研究(近藤教授)

    2024.4 - 2025.3   Full year

  • 臨地実習

    2024.4 - 2025.3   Full year

  • 放射線技術科学入門Ⅰ

    2024.4 - 2024.9   First semester

  • 放射線画像技術学Ⅰ

    2024.4 - 2024.9   First semester

  • 保健学研究論

    2024.4 - 2024.9   First semester

  • 臨床量子線科学Ⅰ

    2024.4 - 2024.9   First semester

  • Health Science Research

    2024.4 - 2024.9   First semester

  • Clinical Quantum Science Ⅰ

    2024.4 - 2024.9   First semester

  • 画像解剖学演習Ⅰ

    2024.4 - 2024.6   Spring quarter

  • X線CT画像技術学

    2024.4 - 2024.6   Spring quarter

  • 放射線機器学実験

    2024.4 - 2024.6   Spring quarter

  • 臨床解剖薬理学

    2023.12 - 2024.2   Winter quarter

  • 放射線診断機器学Ⅱ

    2023.12 - 2024.2   Winter quarter

  • 医用画像評価学

    2023.10 - 2024.3   Second semester

  • 品質管理論

    2023.10 - 2024.3   Second semester

  • 医療安全学

    2023.10 - 2023.12   Fall quarter

  • 放射線診断機器学Ⅰ

    2023.10 - 2023.12   Fall quarter

  • 基礎医療統計

    2023.6 - 2023.8   Summer quarter

  • 放射線技術科学入門Ⅰ

    2023.4 - 2023.9   First semester

  • 放射線機器学実験

    2023.4 - 2023.6   Spring quarter

  • X線CT画像技術学

    2023.4 - 2023.6   Spring quarter

  • 臨床イメージング

    2022.12 - 2023.2   Winter quarter

  • 放射化学実験

    2022.12 - 2023.2   Winter quarter

  • 臨床解剖薬理学

    2022.12 - 2023.2   Winter quarter

  • 放射化学実験

    2022.12 - 2023.2   Winter quarter

  • 実践画像技術学

    2022.10 - 2023.3   Second semester

  • 放射線診断機器学

    2022.10 - 2023.3   Second semester

  • 画像解剖学演習

    2022.10 - 2023.3   Second semester

  • 医用画像評価学

    2022.10 - 2023.3   Second semester

  • 品質管理論

    2022.10 - 2023.3   Second semester

  • 放射線技術科学入門Ⅱ

    2022.10 - 2023.3   Second semester

  • 医療安全学

    2022.10 - 2022.12   Fall quarter

  • 基礎医療統計

    2022.6 - 2022.8   Summer quarter

  • 卒業研究

    2022.4 - 2023.3   Full year

  • 臨地実習

    2022.4 - 2023.3   Full year

  • 放射線技術科学入門Ⅰ

    2022.4 - 2022.9   First semester

  • 放射線機器学実験

    2022.4 - 2022.6   Spring quarter

  • X線CT画像技術学

    2022.4 - 2022.6   Spring quarter

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FD Participation

  • 2024.9   Role:Participation   Title:保健学部門FD

    Organizer:Undergraduate school department

  • 2024.3   Role:Participation   Title:医学部・医学系学府合同教育FD「大学病院の苦悩と医学研究の課題」

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.9   Role:Participation   Title:九州大学ラーニングアナリティクスセンター第2回シンポジウム「生成系AIとラーニングアナリティクスによる新たな教育学習支援の可能性」

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.9   Role:Participation   Title:保健学部門FD 大学教育における対話型・生成系人工知能(AI)の活用

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.3   Role:Participation   Title:全学FD:メンタルヘルス講演会

    Organizer:University-wide

  • 2023.1   Role:Participation   Title:九州大学ラーニングアナリティクスセンター第1回シンポジウム「理想のラーニングアナリティクスを⽬指して:研究と実践の往還」

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2022.12   Role:Participation   Title:医学系学府教育FD「医学系大学院プログラムの進化と深化をめざして」

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2022.12   Role:Participation   Title:和4年度 九州大学大学院医学系学府教育FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2022.9   Role:Moderator   Title:2022年度保健学部門FD

    Organizer:Undergraduate school department

  • 2022.4   Role:Participation   Title:令和4年度 第1回全学FD(新任教員の研修)The 1st All-University FD (training for new faculty members) in FY2022

    Organizer:University-wide

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Participation in international educational events, etc.

  • 2023.3

    九州大学、マラヤ大学

    4th Symposium on Intelligent Data Science for Radiological Imaging (iDSRI) between Universiti Malaya and Kyushu

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    Venue:マレーシア・クアラルンプール

    Number of participants:30

  • 2022.9

    Faculty of Medicine, Universiti Malaya Health Sciences, Faculty of Medical Sciences, Kyushu University

    Symposium on Intelligent Data Science for Radiological Imaging (iDSRI) between Universiti Malaya & Kyushu University, Online, September 20, 2022, Malaysia, 2022.09~2022.09.

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    Venue:Online

Other educational activity and Special note

  • 2024  Class Teacher 

  • 2023  Class Teacher 

  • 2023  Coaching of Students' Association 

  • 2023  Coaching of Students' Association 

  • 2023  Coaching of Students' Association 

  • 2022  Coaching of Students' Association 

  • 2022  Coaching of Students' Association 

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Outline of Social Contribution and International Cooperation activities

  • 超高精細CT研究会・幹事(平成29年10月30日~令和5年1月29日)

Social Activities

  • 【出前講座】目指せ!未来を切り拓く診療放射線技師

    明治学園高等学校  2022.7

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    Audience: Infants, Schoolchildren, Junior students, High school students

    Type:Seminar, workshop

  • 【出前講座】目指せ!未来を切り拓く診療放射線技師

    明治学園高等学校  2022.7

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    Type:Seminar, workshop

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Specialized clinical area

  • Comprehensive and New Fields / Comprehensive Fields / Informatics / Fundamentals of Informatics

    X線CT、MRI