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  • [Med Phys.] Reconstruction of implanted marker trajectories from cone-beam CT projection images using interdimensional correlation modeling.

    2016년 09월호
    [Med Phys.] Reconstruction of implanted marker trajectories from cone-beam CT projection images using interdimensional correlation modeling.

    KAIST, 울산의대/ 정혜균, 조승룡*, 조병철*

  • 출처
    Med Phys.
  • 등재일
    2016 Aug
  • 저널이슈번호
    43(8):4643. doi: 10.1118/1.4958678.
  • 내용

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    Abstract

    PURPOSE:

    Cone-beam CT (CBCT) is a widely used imaging modality for image-guided radiotherapy. Most vendors provide CBCT systems that are mounted on a linac gantry. Thus, CBCT can be used to estimate the actual 3-dimensional (3D) position of moving respiratory targets in the thoracic/abdominal region using 2D projection images. The authors have developed a method for estimating the 3D trajectory of respiratory-induced target motion from CBCT projection images using interdimensional correlation modeling.

     

    METHODS:

    Because the superior-inferior (SI) motion of a target can be easily analyzed on projection images of a gantry-mounted CBCT system, the authors investigated the interdimensional correlation of the SI motion with left-right and anterior-posterior (AP) movements while the gantry is rotating. A simple linear model and a state-augmented model were implemented and applied to the interdimensional correlation analysis, and their performance was compared. The parameters of the interdimensional correlation models were determined by least-square estimation of the 2D error between the actual and estimated projected target position. The method was validated using 160 3D tumor trajectories from 46 thoracic/abdominal cancer patients obtained during CyberKnife treatment. The authors' simulations assumed two application scenarios: (1) retrospective estimation for the purpose of moving tumor setup used just after volumetric matching with CBCT; and (2) on-the-fly estimation for the purpose of real-time target position estimation during gating or tracking delivery, either for full-rotation volumetric-modulated arc therapy (VMAT) in 60 s or a stationary six-field intensity-modulated radiation therapy (IMRT) with a beam delivery time of 20 s.

     

    RESULTS:

    For the retrospective CBCT simulations, the mean 3D root-mean-square error (RMSE) for all 4893 trajectory segments was 0.41 mm (simple linear model) and 0.35 mm (state-augmented model). In the on-the-fly simulations, prior projections over more than 60° appear to be necessary for reliable estimations. The mean 3D RMSE during beam delivery after the simple linear model had established with a prior 90° projection data was 0.42 mm for VMAT and 0.45 mm for IMRT.

     

    CONCLUSIONS:

    The proposed method does not require any internal/external correlation or statistical modeling to estimate the target trajectory and can be used for both retrospective image-guided radiotherapy with CBCT projection images and real-time target position monitoring for respiratory gating or tracking. 

     

     

    Author information

    Chung H1, Poulsen PR2, Keall PJ3, Cho S4, Cho B5.

    1Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, South Korea and Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, South Korea.

    2Department of Oncology, Aarhus University Hospital, Nørrebrogade 44, 8000 Aarhus C, Denmark.

    3Radiation Physics Laboratory, Sydney Medical School, University of Sydney, NSW 2006, Australia.

    4Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, South Korea.

    5Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, South Korea. 

  • 연구소개
    영상유도방사선치료에 널리 이용되는 콘빔(cone-beam) CT의 회전투영 영상을 활용하여 인체삽입마커의 3차원경로를 재구성함으로써, 호흡에 따른 종양움직임을 쫒아가면서 방사선을 조사하는 실시간종양추적방사선치료에 활용하고자 하는 논문입니다. 이를 위해 3차원 위치 성분 간 상관관계를 이용하는 모델을 개발하였고, 그 정확도를 입증하였습니다. 이 방법은 별도의 호흡모니터링 신호 없이도 종양위치추적이 가능할 뿐만 아니라, 기존의 통계학적 모델에 비해 계산속도가 20배 이상 빨라, 실시간종양추적방사선치료 구현에 적합한 모델로 생각합니다.
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