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高精度重粒子線治療に向けた呼吸動態臓器の3次元動態定量化
https://repo.qst.go.jp/records/53530
https://repo.qst.go.jp/records/5353068e430f0-5c0b-4b38-9bec-80c052d1b4d4
| Item type | 会議発表論文 / Conference Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2005-06-22 | |||||
| タイトル | ||||||
| タイトル | 高精度重粒子線治療に向けた呼吸動態臓器の3次元動態定量化 | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
| 資源タイプ | conference paper | |||||
| 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 |
田代, 睦
× 田代, 睦× 蓑原, 伸一× 遊佐, 顕× 桜井, 英幸× 中野, 隆史× 田代 睦× 蓑原 伸一× 遊佐 顕× 櫻井 英幸× 中野 隆史 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | A quantification technique of three-dimensional (3D) lung motion by means of tracking the anatomical features inside the lung using a set of sequential 3D-CT images (a 4D-CT image) is presented. Using lung CT images, lung volume modeling, lung vessel extraction and thinning are processed, and vessel bifurcations are derived as feature points. Such feature points are tracked in a series of 3D-CT images in which the lung is deformed. Consequently, 3D displacement vectors are obtained. The feature point tracking is carried out using point pattern matching with a probability relaxation method. The averaged error of the vectors is estimated to be ~0.2 mm for tentative lung CT images. Therefore, the accuracy is high enough for radiation therapy. This technique enables us to quantify the realistic 3D organ motion without any fiducial markers. It is applied to the quantification of tumor (target volume) deformation by gridding interpolation into all voxels. It is expected to be useful for dose estimation in mobile organs and 4D treatment planning for radiation therapy. | |||||
| 書誌情報 |
Proceedings of the Symposium on Accelerator and Related Technology for Application 巻 7, p. 29-30, 発行日 2005-06 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 1344-4514 | |||||
