Art
J-GLOBAL ID:202002292984421623   Reference number:20A0749855

Hidden Markov Model-based Extraction of Target Objects in X-ray Image Sequence for Lung Radiation Therapy

肺がん放射線治療のための隠れマルコフモデルを用いたX線動画像中の物体輝度抽出
Author (9):
Material:
Volume: 140  Issue:Page: 49-60(J-STAGE)  Publication year: 2020
JST Material Number: S0810A  ISSN: 0385-4221  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Medical image processing 
Reference (26):
  • (1) 大西 洋 他:「がん・放射線療法2017 改訂第7版」,(株)学研メディカル秀潤社 (2017)
  • (2) 山田章吾:「早期のがん治療法の選択 放射線治療」,金原出版(株) (2006)
  • (3) X. Zhang et al.: “A kernel-based method for markerless tumor tracking in kV fluoroscopic images”, Phys. Med. Biol., Vol. 59, pp. 4897-4911 (2014)
  • (4) P. J. Keall et al.: “The management of respiratory motion in radiation oncology report of AAPM Task Group 76”, Med. Phys., Vol. 33, pp. 3874-3900 (2006)
  • (5) T. Sheretz et al.: “Prospective Evaluation of Dual-Energy Imaging in Patients Undergoing Image Guided Radiation Therapy for Lung Cancer: Initial Clinical Results”, Int J Radiation Oncol Biol Phys, Vol. 89, No. 3, pp. 525-531 (2014)
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