講演抄録/キーワード |
講演名 |
2014-06-24 13:50
Lung Tumor Motion Tracking using sequential inter-phase deformable registration for radiation treatment planning Julip Jung・Hyun Hee Jo・○Helen Hong(Seoul Women's Univ.)・Young-Nam Kang(Seoul Saint Mary¨s Hospital)・Soo-Yeol Lee(Electronic & Telecommunication Research Institute) MI2014-32 |
抄録 |
(和) |
To predict varying tumor location during free-breathing in 4D radiotherapy planning, we propose an automatic lung tumor motion tracking method using sequential inter-phase deformable registration for all respiratory phase images in 4D CT. Our method is composed of three steps. First, global lung transformations of all phases are estimated along respiratory rate following the affine registration between end-inspiration (EI) and end-expiration (EE) phases. Second, local lung deformations of all phases are estimated using sequential inter-phase deformable registration. Finally, lung tumor motion over the entire respiratory cycle is automatically tracked using the estimated global transformations and local deformations. To evaluate our method, we performed qualitative and quantitative evaluations and assessed the processing time of our method and comparative method. As a result, the proposed method can automatically track lung tumors in all phases of 4D CT images, while reducing the processing time through the simplification of the registration procedure. |
(英) |
To predict varying tumor location during free-breathing in 4D radiotherapy planning, we propose an automatic lung tumor motion tracking method using sequential inter-phase deformable registration for all respiratory phase images in 4D CT. Our method is composed of three steps. First, global lung transformations of all phases are estimated along respiratory rate following the affine registration between end-inspiration (EI) and end-expiration (EE) phases. Second, local lung deformations of all phases are estimated using sequential inter-phase deformable registration. Finally, lung tumor motion over the entire respiratory cycle is automatically tracked using the estimated global transformations and local deformations. To evaluate our method, we performed qualitative and quantitative evaluations and assessed the processing time of our method and comparative method. As a result, the proposed method can automatically track lung tumors in all phases of 4D CT images, while reducing the processing time through the simplification of the registration procedure. |
キーワード |
(和) |
Lung tumor motion tracking / Radiation treatment planning / 4D CT / / / / / |
(英) |
Lung tumor motion tracking / Radiation treatment planning / 4D CT / / / / / |
文献情報 |
信学技報, vol. 114, no. 103, MI2014-32, pp. 53-58, 2014年6月. |
資料番号 |
MI2014-32 |
発行日 |
2014-06-17 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
MI2014-32 |