• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Development of a Dynamic Intensity-Modulated Radiation Therapy Planning Method Based on Multi-Objective Dose-Volume Constraints

Research Project

Project/Area Number 21K04080
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 21030:Measurement engineering-related
Research InstitutionThe University of Tokushima

Principal Investigator

YOSHINAGA Tetsuya  徳島大学, 大学院医歯薬学研究部(医学域), 教授 (40220694)

Project Period (FY) 2021-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2023: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2022: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords強度変調放射線治療計画 / 最適化問題 / 微分方程式 / 非線形問題 / 強度変調放射線治療 / 数理工学 / 計測工学 / 医療・福祉
Outline of Research at the Start

強度変調放射線治療計画の原理は評価関数の最適化問題に帰着される.先行して,全ての線量体積制約が許容とは限らない困難な問題に対する解決法の開発に成功した.このとき,設定で分離した可能な限り近づけたい条件を複数に与えると,より高精度な計画を効率的に実現できるが未解決である.最近,線量制約を未知数として問題を定式化する新しい理論の構築可能性を想起した.理論・数値解析と実用化試験を通して目的を達成させる.

Outline of Final Research Achievements

Intensity-modulated radiation therapy is anticipated to become a more precise cancer treatment, offering high effectiveness with minimal side effects. We formulated a planning problem by separating mandatory dose-volume constraints and desirable constraints that we aim to meet as closely as possible. We developed an optimization method to address multiple constraints. Software compatible with three-dimensional imaging was created, and its utility was verified through clinical trials. As an application example, we proposed an approach that allows for dose reduction to the OAR (organs at risk) while meeting mandatory constraints, specifically targeting high-precision plans where some dose constraints are unmanageable. Additionally, we designed a method to efficiently solve problems where the PTV (planning target volume) and OAR regions overlap.

Academic Significance and Societal Importance of the Research Achievements

先行研究において,線量体積制約を満たす反復解への収束が理論的に保証された力学系を用いる独自の治療計画法を考案している.さらに,一部の線量制約が許容できない精度の高い治療計画が要求される困難な問題に対し,必須の制約条件と望ましい条件に分離して最適化問題を定式化し,解決法の開発にも成功した.ただし,条件を複数に与えると高精度な治療計画を効率的に実現できるが先行法では解決できなかった.本研究により,腫瘍組織に高い線量を正確に照射し,正常組織にはより少ない線量に抑える設計の枠組み構築と効率的な演算を可能とし,患者への治療効果を高めると同時に副作用を軽減できる治療計画の新しい方法を開発することができた.

Report

(4 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • 2021 Research-status Report
  • Research Products

    (11 results)

All 2024 2023 2022 2021 Other

All Int'l Joint Research (3 results) Journal Article (5 results) (of which Int'l Joint Research: 3 results,  Peer Reviewed: 5 results,  Open Access: 5 results) Presentation (3 results)

  • [Int'l Joint Research] タンタ大学(エジプト)

    • Related Report
      2023 Annual Research Report
  • [Int'l Joint Research] Tanta University(エジプト)

    • Related Report
      2022 Research-status Report
  • [Int'l Joint Research] Tanta University(エジプト)

    • Related Report
      2021 Research-status Report
  • [Journal Article] Nested mixed-mode oscillations, Part III: Comparison of bifurcation structures between a driven Bonhoeffer-van der Pol oscillator and Nagumo-Sato piecewise-linear discontinuous one-dimensional map2023

    • Author(s)
      Inaba Naohiko、Tsubone Tadashi、Ito Hidetaka、Okazaki Hideaki、Yoshinaga Tetsuya
    • Journal Title

      Physica D: Nonlinear Phenomena

      Volume: 446 Pages: 133667-133679

    • DOI

      10.1016/j.physd.2023.133667

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Iterative Image Reconstruction Algorithm with Parameter Estimation by Neural Network for Computed Tomography2023

    • Author(s)
      Kojima Takeshi、Yoshinaga Tetsuya
    • Journal Title

      Algorithms

      Volume: 16 Issue: 1 Pages: 60-75

    • DOI

      10.3390/a16010060

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Block-Iterative Reconstruction from Dynamically Selected Sparse Projection Views Using Extended Power-Divergence Measure2022

    • Author(s)
      Ishikawa Kazuki、Yamaguchi Yusaku、Abou Al-Ola Omar M.、Kojima Takeshi、Yoshinaga Tetsuya
    • Journal Title

      Entropy

      Volume: 24 Issue: 5 Pages: 740-740

    • DOI

      10.3390/e24050740

    • Related Report
      2022 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Image Reconstruction Algorithm Using Weighted Mean of Ordered-Subsets EM and MART for Computed Tomography2022

    • Author(s)
      Abou Al-Ola Omar M.、Kasai Ryosuke、Yamaguchi Yusaku、Kojima Takeshi、Yoshinaga Tetsuya
    • Journal Title

      Mathematics

      Volume: 10 Issue: 22 Pages: 4277-4277

    • DOI

      10.3390/math10224277

    • Related Report
      2022 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Noise-Robust Image Reconstruction Based on Minimizing Extended Class of Power-Divergence Measures2021

    • Author(s)
      Kasai Ryosuke、Yamaguchi Yusaku、Kojima Takeshi、Abou Al-Ola Omar M.、Yoshinaga Tetsuya
    • Journal Title

      Entropy

      Volume: 23 Issue: 8 Pages: 1005-1005

    • DOI

      10.3390/e23081005

    • NAID

      120007126550

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] 多目的線量体積制約に基づく動的IMRT計画法の高精度化2024

    • Author(s)
      林 航平, 小幡 倫央, 中田 良成, 兒島 雄志, 吉永 哲哉
    • Organizer
      第37回高精度放射線外部照射部会学術大会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 多目的線量体積制約に基づく動的高精度IMRT計画のための新しい反復則2023

    • Author(s)
      林 航平, 小幡 倫央, 中田 良成, 兒島 雄志, 吉永 哲哉
    • Organizer
      第62回日本生体医工学会大会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 対象組織の領域に重なりを持つ線量体積制約IMRT計画の動的最適化2023

    • Author(s)
      林 航平, 小幡 倫央, 中田 良成, 兒島 雄志, 吉永 哲哉
    • Organizer
      中四国放射線医療技術フォーラム
    • Related Report
      2023 Annual Research Report

URL: 

Published: 2021-04-28   Modified: 2025-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi