Tumor motion prediction method for thoracoabdominal radiotherapy using 4D-MRI

• Project/Area Number: 26750164
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Medical systems
• Research Institution: Chiba University
• Principal Investigator: Takashi Ohnishi 千葉大学, フロンティア医工学センター, 助教 (30706833)
• Project Period (FY): 2014-04-01 – 2016-03-31
• Project Status: Completed (Fiscal Year 2015)
• Budget Amount: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000); Fiscal Year 2015: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000); Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
• Keywords: 4D-MRI / 放射線治療 / 腫瘍追跡

Outline of Final Research Achievements

In the radiotherapy for the thoracoabdominal region, it is important to evaluate the tumor and organ motion due to respiration in order to avoid unnecessary exposure to healthy organ. In such case, 4D-CT image has been used. However, 4D-CT exposes a very high dose for the subject. We develop the tumor motion analysis method using 4D-MR image and motion prediction method for radiotherapy.
Additionally, virtual 4D-CT generation method for planning of radiation dose distribution was developed.

Research Products

• [Journal Article] Automated respiratory phase classification for generating of respiration synchronized DSA using random forest (2015)
  • Author(s): T. Ohnishi, Y. Takano, T. Okamoto, H. Kato, Y. Ooka, N. Navab, H. Haneishi
  • Journal Title: International Journal of Computer Assisted Radiology and Surgery Volume: 10
  • Int'l Joint Research
• [Journal Article] Lung tumor tracking based on thoracic 4D-MR image for radiation therapy (2014)
  • Author(s): S. Isa, T. Ohnishi, Y. Masuda, H. Haneishi
  • Journal Title: International Journal of Computer Assisted Radiology and Surgery Volume: 9
  • NAID: 110009821263
• [Presentation] 4D-MR画像を用いた腫瘍動態モデリング手法の検討 (2015)
  • Author(s): 伊佐周平，大西峻，桝田喜正，本折健，宇野隆，羽石秀昭
  • Organizer: 第7回 呼吸機能イメージング研究会学術集会
  • Place of Presentation: 東京慈恵会医科大学
  • Year and Date: 2015-02-07 – 2015-02-08
• [Presentation] Lung tumor tracking based on thoracic 4D-MR image for radiation therapy (2014)
  • Author(s): S. Isa, T. Ohnishi, Y. Masuda, H. Haneishi
  • Organizer: Computer Assisted Radiology and Surgery 2014
  • Place of Presentation: Fukuoka Convention Center, Fukuoka, Japan
  • Year and Date: 2014-06-25 – 2014-06-28
• [Remarks] 羽石研究室 PUBLICATION ページ
  • URL: http://www.cfme.chiba-u.jp/~haneishi/publication/index.html