Feasibility study of automated framework for estimating lung tumor locations for target-based patient positioning in stereotactic body radiotherapy

Satoshi Yoshidome, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Kazushige Atsumi, Yasuhiko Nakamura, Hideki Yoshikawa, Kei Nishikawa, Hideki Hirata

研究成果: ジャーナルへの寄稿学術誌査読

3 被引用数 (Scopus)

抄録

Objective. To investigate the feasibility of an automated framework for estimating the lung tumor locations for tumor-based patient positioning with megavolt-cone-beam computed tomography (MV-CBCT) during stereotactic body radiotherapy (SBRT). Methods. A lung screening phantom and ten lung cancer cases with solid lung tumors, who were treated with SBRT, were employed to this study. The locations of tumors in MV-CBCT images were estimated using a tumor-template matching technique between a tumor template and the MV-CBCT. Tumor templates were produced by cropping the gross tumor volume (GTV) regions, which were enhanced by a Sobel filter or a blob structure enhancement (BSE) filter. Reference tumor locations (grand truth) were determined based on a consensus between a radiation oncologist and a medical physicist. Results. According to the results of the phantom study, the average Euclidean distances of the location errors in the original, Sobel-filtered, and BSE-filtered images were 2.0 ± 4.1 mm, 12.8 ± 9.4 mm, and 0.4 ± 0.5 mm, respectively. For clinical cases, these were 3.4 ± 7.1 mm, 7.2 ± 11.6 mm, and 1.6 ± 1.2 mm, respectively. Conclusion. The feasibility study suggests that our proposed framework based on the BSE filter may be a useful tool for tumor-based patient positioning in SBRT.

本文言語英語
論文番号653974
ジャーナルBioMed Research International
2015
DOI
出版ステータス出版済み - 1月 5 2015

!!!All Science Journal Classification (ASJC) codes

  • 免疫学および微生物学(全般)
  • 生化学、遺伝学、分子生物学(全般)

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