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Regression Model of Tumor and Diaphragm Position for Marker-Less Tumor Tracking in Carbon Ion Scanning Therapy for Hepatocellular Carcinoma
https://repo.qst.go.jp/records/72238
https://repo.qst.go.jp/records/722383c2be171-7521-4b5f-a6a7-b56a9461e6c3
Item type | 会議発表用資料 / Presentation(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2017-03-25 | |||||
タイトル | ||||||
タイトル | Regression Model of Tumor and Diaphragm Position for Marker-Less Tumor Tracking in Carbon Ion Scanning Therapy for Hepatocellular Carcinoma | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_c94f | |||||
資源タイプ | conference object | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
平井, 隆介
× 平井, 隆介× 坂田, 幸辰× 田口, 安則× 森, 慎一郎× 平井 隆介× 坂田 幸辰× 田口 安則× 森 慎一郎 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | To allow tumor targeting in the context of liver treatment planning, it is important to estimate the tumor position dynamically. In fluoroscopy, a multiple template-based method has been proposed for tumor tracking without fiducial markers. This method requires ground-truth tumor positions on training images to estimate tumor templates; however, these positions have to be manually set. Moreover, the low contrast of fluoroscopy images makes tumor position marking difficult. To solve this problem, we propose a semiautomatic tumor position tracking method for the training images to reduce both the positional error arising from the manual setup as well as the time required by setting the ground-truth manually. | |||||
会議概要(会議名, 開催地, 会期, 主催者等) | ||||||
内容記述タイプ | Other | |||||
内容記述 | American Society for Radiation Oncology | |||||
発表年月日 | ||||||
日付 | 2016-09-26 | |||||
日付タイプ | Issued |