Automated framework for estimation of lung tumor locations in kV-CBCT images for tumor-based patient positioning in stereotactic lung body radiotherapy

Satoshi Yoshidome, Hidetaka Arimura, Koutarou Terashima, Masakazu Hirakawa, Taka Aki Hirose, Junichi Fukunaga, Yasuhiko Nakamura

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Recently, image-guided radiotherapy (IGRT) systems using kilovolt cone-beam computed tomography (kV-CBCT) images have become more common for highly accurate patient positioning in stereotactic lung body radiotherapy (SLBRT). However, current IGRT procedures are based on bone structures and subjective correction. Therefore, the aim of this study was to evaluate the proposed framework for automated estimation of lung tumor locations in kV-CBCT images for tumor-based patient positioning in SLBRT. Twenty clinical cases are considered, involving solid, pure ground-glass opacity (GGO), mixed GGO, solitary, and non-solitary tumor types. The proposed framework consists of four steps: (1) determination of a search region for tumor location detection in a kV-CBCT image; (2) extraction of a tumor template from a planning CT image; (3) preprocessing for tumor region enhancement (edge and tumor enhancement using a Sobel filter and a blob structure enhancement (BSE) filter, respectively); and (4) tumor location estimation based on a template-matching technique. The location errors in the original, edge-, and tumor-enhanced images were found to be 1.2 ± 0.7 mm, 4.2 ± 8.0 mm, and 2.7 ± 4.6 mm, respectively. The location errors in the original images of solid, pure GGO, mixed GGO, solitary, and non-solitary types of tumors were 1.2 ± 0.7 mm, 1.3 ± 0.9 mm, 0.4 ± 0.6 mm, 1.1 ± 0.8 mm and 1.0 ± 0.7 mm, respectively. These results suggest that the proposed framework is robust as regards automatic estimation of several types of tumor locations in kV-CBCT images for tumor-based patient positioning in SLBRT.

本文言語英語
ホスト出版物のタイトルMedical Imaging 2017
ホスト出版物のサブタイトルPhysics of Medical Imaging
編集者Taly Gilat Schmidt, Joseph Y. Lo, Thomas G. Flohr
出版社SPIE
ISBN(電子版)9781510607095
DOI
出版ステータス出版済み - 2017
イベントMedical Imaging 2017: Physics of Medical Imaging - Orlando, 米国
継続期間: 2 13 20172 16 2017

出版物シリーズ

名前Progress in Biomedical Optics and Imaging - Proceedings of SPIE
10132
ISSN(印刷版)1605-7422

その他

その他Medical Imaging 2017: Physics of Medical Imaging
Country米国
CityOrlando
Period2/13/172/16/17

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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