{"id":705,"date":"2023-07-01T11:34:01","date_gmt":"2023-07-01T02:34:01","guid":{"rendered":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/?page_id=705"},"modified":"2023-07-13T14:39:55","modified_gmt":"2023-07-13T05:39:55","slug":"achievement-2015","status":"publish","type":"page","link":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/en\/achievement-2015\/","title":{"rendered":"Achievement-2015"},"content":{"rendered":"\n<h2 class=\"wp-block-heading blue-line\">Original Papers<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Yamamoto T, Kadoya N, Shirata Y, Kaneta T, Koto M, Umezawa R, Ishikawa Y, Kubozono M, Sugawara T, Matsushita H, Abe K, Takeda K, Jingu K, \u201cFormula corrected maximal standardized uptake value in FDG-PET for partial volume effect and motion artifact is not a prognostic factor in stage I non-small cell lung cancer treated with stereotactic body radiotherapy\u201d, Ann Nucl Med, 2015<\/li>\n\n\n\n<li>Kadoya N, Karasawa K, Sumida I, Arimura H, Yamada S, \u201cThe current status of education and career paths of students after completion of medical physicist programs in Japan: a survey by the Japanese Board for Medical Physicist Qualification\u201d, Radiol Phys Technol, 2015<\/li>\n\n\n\n<li>Kadoya N, Saito M, Ogasawara M, Fujita Y, Ito K, Sato K, Kishi K, Dobashi S, Takeda K, Jingu K, \u201cEvaluation of patient DVH-based QA metrics for prostate VMAT: correlation between accuracy of estimated 3D patient dose and magnitude of MLC misalignment\u201d, J Appl Clin Med Phys, 2015<\/li>\n\n\n\n<li>Kadoya N, Cho SY, Kanai T, Onozato Y, Ito K, Dobashi S, Yamamoto T, Umezawa R, Matsushita H, Takeda K, Jingu K, \u201cDosimetric impact of 4-dimensional computed tomography ventilation imaging-based functional treatment planning for stereotactic body radiation therapy with 3-dimensional conformal radiation therapy\u201d, Prac Radiat Oncol, 2015<\/li>\n\n\n\n<li>Umezawa R, Takanami K, Kadoya N, Nakajima Y, Saito M, Ota H, Matsushita H, Sugawara T, Kubozono M, Yamamoto T, Ishikawa Y, Takeda K, Taki Y, Takase K, Jingu K, \u201cAssessment of myocardial metabolic disorder associated with mediastinal radiotherapy for esophageal cancer -a pilot study\u201d, Radiat Oncol, 10, 96,2015<\/li>\n\n\n\n<li>Yamamoto T, Kadoya N, Shirata Y, Koto M, Sato K, Matsushita H, Sugawara T, Umezawa R, Kubozono M, Ishikawa Y, Kozumi M, Takahashi N, Ito K, Katagiri Y, Takeda K, Jingu K, \u201cImpact of tumor attachment to the pleura measured by a pretreatment CT image on outcome of stage I NSCLC treated with stereotactic body radiotherapy\u201d, Radiat Oncol, 10, 35, 2015<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading blue-line\">Domestic Conference<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Abe Y, Kadoya N, Narita Y, Komori S, Arai K, Endo H, Oyama S, Motoyanagi T, Kato T, Takeda K, Jingu K, \u201cEvaluation of sensitivity of passive-scattering proton therapy to organ movement during course of prostate cancer treatment using dose accumulation with DIR: Comparison of proton therapy and IMRT\u201d, \u7b2c28\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.11 \u524d\u6a4b<\/li>\n\n\n\n<li>Ito K, Kadoya N, Chiba M, Kubozono M, Yamamoto T, Kozumi M, Takahashi N, Dobashi S, Takeda K, Matsushita H, Jingu K, \u201cDevelopment of dose calculation with simple inhomogeneity correction for High-Dose-Rate Ir-192 Brachytherapy\u201d, \u7b2c28\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.11 \u524d\u6a4b<\/li>\n\n\n\n<li>Kadoya N, Nakajima Y, Kabus S, Loo BW, Keall PJ, Jingu K, Yamamoto T, \u201cValidation of 4D-CT ventilation imaging for functional image-guided radiotherapy: Can 4D-CT ventilation imaging measure effects of thoracic radiotherapy on regional lung function?\u201d, \u7b2c28\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.11 \u524d\u6a4b<\/li>\n\n\n\n<li>Miyasaka Y\u3001Kadoya N\u3001Ito K\u3001Chiba M\u3001Nakajima Y\u3001Yamamoto T\u3001Kubozono M, Dobashi S\u3001Takeda K\u3001Jingu K, \u201cEvaluation of dose accumulation of external beam radiotherapy and brachytherapy using deformable image registration for cervical cancer: Can the accumulative dose be used in clinical practice?\u201d, \u7b2c28\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.11 \u524d\u6a4b<\/li>\n\n\n\n<li>Takayama Y, Kadoya N, Ito K, Chiba M, Fujiwara K, Dobashi S, Kishi K, Sato K, Takeda K, Jingu K, \u201d Evaluation of accumulative dose estimation from cone beam CT with deformable image registration in prostate cancer patients treated with IMRT\u201d, \u7b2c28\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.11 \u524d\u6a4b<\/li>\n\n\n\n<li>Arai K, Kadoya N, Narita Y, Komori S, Abe Y, Endo H, Oyama S, Motoyanagi T, Kato T, Takeda K, Jingu K, \u201cFeasibility of CBCT-based proton dose calculation with deformable image registration using Hounsfield unit modification for head and neck patient\u201d, \u7b2c28\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.11 \u524d\u6a4b<\/li>\n\n\n\n<li>Nakajima Y, Kadoya N, Ichiji K, Uchida T, Yu Guo, Ito K, Ishikawa Y, Takeda K, Takai Y, Homma N, Jingu K, \u201cImpact of dynamic MLC-based tumor tracking on radiotherapy for lung cancer: Dosimetric comparison between non-gated, gated and tracking plan\u201d, \u7b2c28\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.11 \u524d\u6a4b<\/li>\n\n\n\n<li>Saito M\u3001Kadoya N\u3001Ito K\u3001Chiba M\u3001Sato K, Kishi K, Dobashi S\u3001Takeda K\u3001Jingu K, \u201cPredictive power of machine log file-based patient specific QA for prostate VMAT: Correlation between measurement and log file-based dose reconstruction\u201d, \u7b2c28\u56de\u65e5\u672c\u653e\u5c04\u7dda\u816b\u760d\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.11 \u524d\u6a4b<\/li>\n\n\n\n<li>\u9ad8\u5c71\u4f73\u6a39\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u5343\u8449\u745e\u5df1\u3001\u85e4\u539f\u5eb7\u751f\u3001\u571f\u6a4b\u5353\u3001\u4f50\u85e4\u6e05\u548c\u3001\u5cb8\u548c\u99ac\u3001\u6b66\u7530\u8ce2\u3001\u795e\u5bae\u5553\u4e00. \u201c\u524d\u7acb\u817a\u304c\u3093\u75c7\u4f8b\u306b\u304a\u3051\u308b\u753b\u7d20\u5024\u3068\u89e3\u5256\u5b66\u7684\u60c5\u5831\u3092\u7528\u3044\u308bHybrid DIR\u306e\u6709\u52b9\u6027\u306e\u691c\u8a0e\u201d. \u7b2c5\u56de\u6771\u5317\u653e\u5c04\u7dda\u533b\u7642\u6280\u8853\u5b66\u8853\u5927\u4f1a. 2015.10 \u5c71\u5f62<\/li>\n\n\n\n<li>\u5343\u8449\u745e\u5df1\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u5cb8\u548c\u99ac\u3001\u4f50\u85e4\u6e05\u548c\u3001\u571f\u6a4b\u5353\u3001\u6b66\u7530\u8ce2\u3001\u677e\u4e0b\u6674\u96c4\u3001\u795e\u5bae\u5553\u4e00. \u201cCBCT\u3092\u7528\u3044\u305f\u9069\u5fdc\u653e\u5c04\u7dda\u6cbb\u7642\u201d. \u7b2c133\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u5317\u65e5\u672c\u5730\u65b9\u4f1a. 2015.10 \u4ed9\u53f0<\/li>\n\n\n\n<li>\u963f\u90e8\u826f\u77e5\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6210\u7530\u512a\u8f1d\u3001\u65b0\u4e95\u4e00\u5f18\u3001\u5c0f\u68ee\u614e\u4e5f\u3001\u9060\u85e4\u6d69\u5149\u3001\u5c0f\u5c71\u7fd4\u3001\u672c\u67f3\u667a\u7ae0\u3001\u52a0\u85e4\u8cb4\u5f18\u3001\u6b66\u7530\u8ce2\u3001\u795e\u5bae\u5553\u4e00. \u201c\u524d\u7acb\u817a\u304c\u3093\u306b\u5bfe\u3059\u308bPassive-scattering\u7167\u5c04\u6cd5\u3092\u7528\u3044\u305f\u967d\u5b50\u7dda\u6cbb\u7642\u306e\u6cbb\u7642\u671f\u9593\u4e2d\u306e\u81d3\u5668\u5909\u52d5\u306b\u5bfe\u3059\u308b\u7dda\u91cf\u5206\u5e03\u3078\u306e\u5f71\u97ff\uff1a\u967d\u5b50\u7dda\u6cbb\u7642\u3068IMRT\u3068\u306e\u6bd4\u8f03\u201d. \u7b2c110\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.9 \u672d\u5e4c<\/li>\n\n\n\n<li>\u65b0\u4e95\u4e00\u5f18\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6210\u7530\u512a\u8f1d\u3001\u5c0f\u68ee\u614e\u4e5f\u3001\u963f\u90e8\u826f\u77e5\u3001\u9060\u85e4\u6d69\u5149\u3001\u5c0f\u5c71\u7fd4\u3001\u672c\u67f3\u667a\u7ae0\u3001\u52a0\u85e4\u8cb4\u5f18\u3001\u6b66\u7530\u8ce2\u3001\u795e\u5bae\u5553\u4e00. \u201c\u967d\u5b50\u7dda\u6cbb\u7642\u306b\u304a\u3051\u308bHistogram-matching\u6cd5\u3092\u7528\u3044\u305f\u4fee\u6b63CBCT\u753b\u50cf\u306e\u7dda\u91cf\u8a08\u7b97\u7cbe\u5ea6\u5411\u4e0a\u306e\u305f\u3081\u306e\u691c\u8a0e\u201d. \u7b2c110\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.9 \u672d\u5e4c<\/li>\n\n\n\n<li>\u5343\u8449\u745e\u5df1\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u5cb8\u548c\u99ac\u3001\u4f50\u85e4\u6e05\u548c\u3001\u571f\u6a4b\u5353\u3001\u6b66\u7530\u8ce2\u3001\u677e\u4e0b\u6674\u96c4\u3001\u795e\u5bae\u5553\u4e00. \u201cCBCT-based adaptive radiotherapy\u306b\u304a\u3051\u308bdeformable image registration\u3092\u7528\u3044\u305fvirtual planning CT\u306e\u6709\u52b9\u6027\u306e\u691c\u8a0e\u201d. \u7b2c110\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.9 \u672d\u5e4c<\/li>\n\n\n\n<li>\u91d1\u4e95\u8cb4\u5e78\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u5cb8\u548c\u99ac\u3001\u677e\u4e0b\u6674\u96c4\u3001\u6b66\u7530\u8ce2\u3001\u795e\u5bae\u5553\u4e00\u3001\u6839\u672c\u5efa\u4e8c. \u201c4D-CT \u3092\u7528\u3044\u305f\u80ba\u6a5f\u80fd\u753b\u50cf\u306e\u751f\u7406\u5b66\u7684\u8a55\u4fa1\u201d. \u7b2c132\u56de\u65e5\u672c\u533b\u5b66\u653e\u5c04\u7dda\u5b66\u4f1a\u5317\u65e5\u672c\u5730\u65b9\u4f1a. 2015.6 \u79cb\u7530<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b\u3001\u5510\u6fa4\u4e45\u7f8e\u5b50\u3001\u9685\u7530\u4f0a\u7e54\u3001\u6709\u6751\u79c0\u8003\u3001\u5c71\u7530\u7ae0\u543e. \u201c\u5927\u5b66\u9662\u533b\u5b66\u7269\u7406\u6559\u80b2\u30b3\u30fc\u30b9\u306b\u304a\u3051\u308b\u533b\u5b66\u7269\u7406\u58eb\u990a\u6210\u306e\u73fe\u72b6\uff1a\u533b\u5b66\u7269\u7406\u58eb\u8a8d\u5b9a\u6a5f\u69cb\u306b\u3088\u308b\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u7d50\u679c\u201d. \u7b2c28\u56de\u65e5\u672c\u9ad8\u7cbe\u5ea6\u653e\u5c04\u7dda\u5916\u90e8\u7167\u5c04\u7814\u7a76\u4f1a. 2015.5 \u4eac\u90fd<\/li>\n\n\n\n<li>\u65b0\u4e95\u4e00\u5f18\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u6b66\u7530\u8ce2\u3001\u571f\u6a4b\u5353\u3001\u5cb8\u548c\u99ac\u3001\u4f50\u85e4\u6e05\u548c\u3001\u5c0f\u5c71\u7fd4\u3001\u52a0\u85e4\u8cb4\u5f18\u3001\u795e\u5bae\u5553\u4e00. \u201c\u982d\u9838\u90e8two-step IMRT\u306b\u304a\u3051\u308bDIR\u3092\u7528\u3044\u305f\u7a4d\u7b97\u7dda\u91cf\u8a55\u4fa1\u306e\u6709\u7528\u6027\u306e\u691c\u8a0e. \u7b2c28\u56de\u65e5\u672c\u9ad8\u7cbe\u5ea6\u653e\u5c04\u7dda\u5916\u90e8\u7167\u5c04\u7814\u7a76\u4f1a. 2015.5 \u4eac\u90fd<\/li>\n\n\n\n<li>\u4e2d\u5cf6\u7950\u4e8c\u6717\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6728\u7530\u667a\u58eb\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u91d1\u4e95\u8cb4\u5e78\u3001\u6b66\u7530\u8ce2\u3001\u571f\u6a4b\u5353\u3001\u5cb8\u548c\u99ac\u3001\u4f50\u85e4\u6e05\u548c\u3001\u677e\u4e0b\u6674\u96c4\u3001\u795e\u5bae\u5553\u4e00. \u201c\u30bf\u30d6\u30ec\u30c3\u30c8PC\u3092\u7528\u3044\u305f\u30ac\u30a4\u30c9\u6ce2\u5f62\u306b\u3088\u308bvisual feedback\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\u201d. \u7b2c109\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.4\u6a2a\u6d5c<\/li>\n\n\n\n<li>\u85e4\u539f\u5eb7\u751f\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6728\u7530\u667a\u58eb\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u5c0f\u91ce\u91cc\u4f91\u7950\u3001\u9f4b\u85e4\u6b63\u82f1\u3001\u5cb8\u548c\u99ac\u3001\u571f\u6a4b\u5353\u3001\u6b66\u7530\u8ce2\u3001\u795e\u5bae\u5553\u4e00. \u201c\u9aa8\u76e4\u90e8\u306eCT\u753b\u50cf\u3068CBCT\u753b\u50cf\u3092\u7528\u3044\u305f3\u7a2e\u985e\u306edeformable image registration\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u7cbe\u5ea6\u8a55\u4fa1\u201d. \u7b2c109\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.4\u6a2a\u6d5c<\/li>\n\n\n\n<li>\u9f4b\u85e4\u6b63\u82f1\u3001\u89d2\u8c37\u502b\u4e4b\u3001\u6728\u7530\u667a\u58eb\u3001\u4f0a\u85e4\u8b19\u543e\u3001\u5cb8\u548c\u99ac\u3001\u4f50\u85e4\u6e05\u548c\u3001\u571f\u6a4b\u5353\u3001\u6b66\u7530\u8ce2\u3001\u795e\u5bae\u5553\u4e00. \u201c\u524d\u7acb\u817aVMAT\u306b\u304a\u3051\u308bDVH\u306b\u57fa\u3065\u304f\u60a3\u8005QA\u306e\u8a31\u5bb9\u5024\u306e\u6c7a\u5b9a\u306b\u5411\u3051\u305f\u57fa\u790e\u7684\u691c\u8a0e\u201d. \u7b2c109\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a. 2015.4\u6a2a\u6d5c<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading blue-line\">International Conference<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Kadoya N, Saito M, Ogasawara M, Fujita Y, Ito K, Sato K, Kishi K, Dobashi S, Takeda K, Jingu K, \u201cEvaluation of patient DVH-based QA metrics for prostate VMAT: Correlation between accuracy of estimated 3D patient dose and MLC position error\u201d, 57th annual meeting of AAPM, 2015.7. Anaheim (oral presentation)<\/li>\n\n\n\n<li>Nakajima Y, Kadoya N, Kabus S, Loo BW, Keall PJ, Yamamoto T, \u201cEffects of Thoracic Radiotherapy on Regional Lung Function Measured by 4D-CT Ventilation Imaging\u201d, 57th annual meeting of AAPM, 2015.7. Anaheim (oral presentation)<\/li>\n\n\n\n<li>Nakajima Y, Kadoya N, Kida S, Ito K, Kanai T, Kishi K, Sato K, Dobashi S, Takeda K, Jingu K, \u201cComparative effect of different respiratory motion management systems\u201d, 57th annual meeting of AAPM, 2015.7. Anaheim (poster presentation)<\/li>\n\n\n\n<li>Sugawara Y, Tachibana H, Kadoya N, Kitamura N, Jingu K, \u201cThe Impact of the Tumor Location to Deformable Image Registration\u201d, 57th annual meeting of AAPM, 2015.7. Anaheim (poster presentation)<\/li>\n\n\n\n<li>Nakajima Y, Kadoya N, Kida S, Ito K, Kanai T, Kishi K, Sato K, Dobashi S, Takeda K, Matsushita H and Jingu K, \u201cThe impact of audio-visual biofeedback with a patient-specific guiding waveform on respiratory motion management: Comparison of two different respiratory management systems\u201d, IUPESM 2015 World Congress on Med Phys Bio Eng, 2015.6. Toronto (oral presentation)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading blue-line\">Invited talk &amp; Symposium<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u89d2\u8c37\u502b\u4e4b. \u201c\u5916\u7167\u5c04\u4f75\u7528IGBT\u306b\u304a\u3051\u308b\u7a4d\u7b97\u7dda\u91cf\u8a55\u4fa1\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\u201d. \u30de\u30a4\u30af\u30ed\u30bb\u30ec\u30af\u30c8\u30ed\u30f3HDR\u7814\u7a76\u4f1a. 2015.12 \u6771\u4eac<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201c4D-CT\u3068DIR\u304b\u3089\u751f\u6210\u3059\u308b\u80ba\u6a5f\u80fd\u753b\u50cf\u3092\u7528\u3044\u305f\u6b21\u4e16\u4ee3\u80ba\u304c\u3093\u653e\u5c04\u7dda\u6cbb\u7642\u6cd5\u201d. \u7b2c\uff112\u56de\u4e2d\u90e8\u653e\u5c04\u7dda\u6cbb\u7642\u7814\u7a76\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a. 2015.10 \u540d\u53e4\u5c4b<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cDIR\u3068IGART\uff5e\u80f8\u90e8\u9818\u57df\u201d. \u7b2c40\u56de\u81e8\u5e8a\u533b\u5b66\u7269\u7406\u7814\u7a76\u4f1a. 2015.10 \u6771\u4eac<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cdeformable image registration\u306e\u57fa\u790e\u3068\u81e8\u5e8a\u5229\u7528\u201d. \u65e5\u672c\u653e\u5c04\u7dda\u6cbb\u7642\u5c02\u9580\u653e\u5c04\u7dda\u6280\u5e2b\u8a8d\u5b9a\u6a5f\u69cb\u7d71\u4e00\u8b1b\u7fd2\u4f1a\u6771\u6d77\u30d6\u30ed\u30c3\u30af. 2015.9 \u540d\u53e4\u5c4b<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cCurrent status of MR-Linac System\u201d. \u7b2c110\u56de\u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0. 2015.9 \u672d\u5e4c<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201c\u80ba\u304c\u3093\u306e\u6b21\u4e16\u4ee3\u653e\u5c04\u7dda\u6cbb\u7642\uff5e4D-CT\u3068DIR\u306b\u3088\u308b\u80ba\u6a5f\u80fd\u753b\u50cf\u3092\u7528\u3044\u305f\u751f\u7406\u6a5f\u80fd\u5b66\u7684\u306a\u7dda\u91cf\u6700\u9069\u5316\u6cd5\u201d. \u7b2c124\u56de\u304b\u305f\u308d\u3046\u4f1a\u4e00\u6cca\u30bb\u30df\u30ca\u30fc. 2015.5 \u795e\u6238<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201c\u653e\u5c04\u7dda\u6cbb\u7642\u5206\u91ce\u306b\u304a\u3051\u308b\u753b\u50cf\u30ec\u30b8\u30b9\u30c8\u30ec\u30fc\u30b7\u30e7\u30f3\u6280\u8853\u306b\u3064\u3044\u3066\u201d. \u65e5\u672c\u533b\u5b66\u7269\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1aJoint Symposium. 2015.4 \u6a2a\u6d5c<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201c\u6cbb\u7642\u8a08\u753b\u88c5\u7f6eRayStation\u306e\u521d\u671f\u4f7f\u7528\u7d4c\u9a13\uff5e\u3069\u306e\u6a5f\u80fd\u304c\u672c\u5f53\u306b\u6709\u52b9\u304b\uff5e\u201d. \u65e5\u7acb\u653e\u5c04\u7dda\u6cbb\u7642\u30b7\u30b9\u30c6\u30e0 \u30e6\u30fc\u30b6\u30fc\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0. 2015.4 \u6a2a\u6d5c<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cDeformable image registration\u3068Adaptive radiotheapy\u201d.\u9996\u90fd\u5927\u5b66\u6771\u4eac\u304c\u3093\u30d7\u30ed\u30d5\u30a7\u30c3\u30b7\u30e7\u30ca\u30eb\u990a\u6210\u63a8\u9032\u30d7\u30e9\u30f3\u4e3b\u50ac\u81e8\u5e8a\u533b\u5b66\u7269\u7406\u30bb\u30df\u30ca\u30fc. 2015.3 \u6771\u4eac<\/li>\n\n\n\n<li>\u89d2\u8c37\u502b\u4e4b. \u201cDeformable image registration\u306e\u57fa\u790e\u3068\u653e\u5c04\u7dda\u6cbb\u7642\u3078\u306e\u5fdc\u7528\u201d.\u5343\u8449\u770c\u653e\u5c04\u7dda\u6cbb\u7642\u306e\u4f1a. 2015.2 \u5343\u8449<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Original Papers Domestic Conference International Conference Invited talk &amp; Symposium<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-achievement.php","meta":{"_locale":"en_US","_original_post":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/?page_id=445","footnotes":""},"class_list":["post-705","page","type-page","status-publish","hentry","en-US"],"_links":{"self":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages\/705","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/comments?post=705"}],"version-history":[{"count":3,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages\/705\/revisions"}],"predecessor-version":[{"id":1242,"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/pages\/705\/revisions\/1242"}],"wp:attachment":[{"href":"https:\/\/www.rt-medphys.med.tohoku.ac.jp\/wp-json\/wp\/v2\/media?parent=705"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}