Development and evaluation of an automatic contour propagation method for 4D radiotherapy

被引:0
|
作者
Lin, L.
Shi, C.
Liu, Y.
Swanson, G.
Papanikolaou, N.
机构
[1] Univ Texas, Hlth Sci Ctr, San Antonio, TX USA
[2] Canc Therapy & Res Ctr S Texas, San Antonio, TX 78229 USA
关键词
D O I
10.1118/1.2761708
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To develop and evaluate automatic contour propagation method for 4D radiotherapy Method and Materials: 4D CT images of one lung cancer patient and dynamic phantom images were acquired and resorted into ten respiratory phases. Demons deformable registration was performed to find the deformation field from the end‐exhale fixed phase to moving phases such as the end‐inhale phase. Regions of interest (ROIs) were contoured in the fixed phase with the Pinnacle3 treatment planning system. The planar parallel contours were reconstructed as the 3D binary mask image data which has zero value outside and non‐zero value inside of the 3D outline of contouring. The 3D contour image data were transformed to another moving phase using the deformation field from the image registration result. On each 2D plane the binary image boundary was found to trace the closed intersection points. To assess the quality of the automatic contour propagation method, the contour for the moving phase was delineated manually. Visual inspection between the contour propagation and manual contour was performed as the qualitative evaluation. Two indices were used as the quantitative examination. One was the match index to indicate how well two contour sets match each other. The other was volume difference evaluation between two contour sets. Results: The demons deformable registration results show good alignment for both the phantom and the patient. The match index between manual and automatic contouring ranged from 0.96 to 0.99 for the dynamic phantom and from 0.95 to 0.99 for the lung patient. The volume differences were between 0.75 and 2.97 percent for the dynamic phantom and between 1.50 and 7.32 percent for the lung patient. Conclusions: The proposed automatic contour propagation method is simple and feasible without surface construction. It is a variable method for defining the ROIs for large amount of 4DCT data sets. © 2007, American Association of Physicists in Medicine. All rights reserved.
引用
收藏
页码:2637 / 2638
页数:2
相关论文
共 50 条
  • [1] VALIDATION OF AN AUTOMATIC CONTOUR PROPAGATION METHOD FOR LUNG CANCER 4D ADAPTIVE RADIATION THERAPY
    Peroni, M.
    Spadea, M. F.
    Riboldi, M.
    Baroni, G.
    Chen, G. T. Y.
    Sharp, G. C.
    2009 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1 AND 2, 2009, : 1071 - +
  • [2] Validation of Automatic Contour Propagation for 4D Treatment Planning using Multiple Metrics
    Peroni, M.
    Spadea, M. F.
    Riboldi, M.
    Falcone, S.
    Vaccaro, C.
    Sharp, G. C.
    Baroni, G.
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2013, 12 (06) : 501 - 510
  • [3] Evaluation of mesh- and binary-based contour propagation methods in 4D thoracic radiotherapy treatments using patient 4D CT images
    Ma, Yuanyuan
    Liu, Xinguo
    Dai, Zhongying
    He, Pengbo
    Yan, Yuanlin
    Shen, Guosheng
    Yuan, Ping
    Li, Qiang
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2017, 36 : 46 - 53
  • [4] Automated contour propagation for 4D radiation therapy
    Chao, M.
    Xing, L.
    Schreibmann, E.
    Li, T.
    RADIOTHERAPY AND ONCOLOGY, 2007, 84 : S108 - S108
  • [5] Automatic contour generation of 4D CT by deformable registration
    Duan, Zhuolei
    Zhou, Fugen
    Liu, Bo
    Deng, Xiaowu
    Chen, Ming
    Huang, Xiaoyan
    PACIIA: 2008 PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION, VOLS 1-3, PROCEEDINGS, 2008, : 1170 - +
  • [6] Automatic dose verification system for breast radiotherapy: Method validation, contour propagation and DVH parameters evaluation
    Baeza, Jose A.
    Zegers, Catharina M. L.
    de Groot, Nienke A.
    Nijsten, Sebastiaan M. J. J. G.
    Murrer, Lars H. P.
    Verhoeven, Karolien
    Boersma, Liesbeth
    Verhaegen, Frank
    van Elmpt, Wouter
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2022, 97 : 44 - 49
  • [7] Automatic re-contouring in 4D radiotherapy
    Lu, WG
    Olivera, GH
    Chen, Q
    Chen, ML
    Ruchala, KJ
    PHYSICS IN MEDICINE AND BIOLOGY, 2006, 51 (05): : 1077 - 1099
  • [8] A workflow for automatic QA of contour propagation for adaptive radiotherapy
    Beasley, W.
    McWilliam, A.
    Slevin, N.
    Mackay, R.
    Van Herk, M.
    RADIOTHERAPY AND ONCOLOGY, 2016, 119 : S898 - S899
  • [9] Implementation and evaluation of automatic contour propagation in 4DCT of lung
    Boldea, V.
    Sharp, G.
    Jiang, S.
    Choi, N.
    Ginestet, C.
    Carrie, C.
    Sarrut, D.
    MEDICAL PHYSICS, 2006, 33 (06) : 2019 - 2020
  • [10] 4D radiotherapy
    Van Herk, M.
    CLINICAL ONCOLOGY, 2007, 19 (03) : S10 - S10