Comparison of real-time tracking & 4D inverse planning for managing patient respiratory motion

被引:0
|
作者
Zhang, P. [1 ]
Yan, D. [1 ]
Hugo, G. [1 ]
机构
[1] William Beaumont Hosp, Royal Oak, MI 48072 USA
关键词
D O I
10.1118/1.2760367
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: Real‐time tracking and 4D‐planning at the mean target position have been two potential methodologies to manage respiratory target motion. In this study, we evaluated each method based on dose‐volume criteria of organs in lung cancer radiotherapy. Method and Materials: Four patients with respiratory target excursions 1.5cm to 3.0cm were included. Each patient had 4D‐CT scans at 10 breathing phases. Deformable organ registration was applied to obtain subvolume displacement mapping for each phase of CT image. First, an idealized real‐time tracking technique was evaluated assuming perfect estimation of target motion and beam tracking. Inverse planning was performed on each breathing phase CT image without using margins for target and normal structures. Treatment dose was accumulated from does of each breathing phase. Secondly, a 4D‐inverse planning was performed on the mean 4D‐CT image using the corresponding pdf of respiratory motion created from the 4D‐CTs. Same beams and prescription dose (70Gy), as well as same objective and constraints, were applied in the planning optimization, and the cumulative dose was constructed accordingly. DVH and EUD in the GTV, lung, heart and cord were used for the evaluation. Results: Cumulative doses in target are similar for both techniques. The beam intensity modulation in the 4D inverse planning is much higher than the one in the real‐time tracking, but it can be delivered using beam compensator. Lung, heart and cord DVHs are similar with the corresponding EUDs, 4.6±2.2Gy, 8.3±4.6Gy and 11±4.35Gy for the tracking technique, and 5.3±2.3Gy, 8.8±5.1Gy and 11.9±5.0Gy for the 4D inverse planning. Conclusion: Treatment technique with the 4D‐inverse planning and online mean target position control is clinically practical. Compared to the idealized real‐time tracking, 4D‐inverse planning achieves slightly degraded, but similar. However, this degradation could be vanished when practical tracking error was considered. © 2007, American Association of Physicists in Medicine. All rights reserved.
引用
收藏
页码:2335 / 2336
页数:2
相关论文
共 50 条
  • [21] Real-time 4D tracking of airborne virus-laden droplets and aerosols
    Devendra Pal
    Marc Amyot
    Chen Liang
    Parisa A. Ariya
    Communications Engineering, 2 (1):
  • [22] 4D IMRT planning based on a DMLC motion tracking algorithm
    Suh, Y.
    Sawant, A.
    Venkat, R.
    Keall, P. J.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2008, 72 (01): : S619 - S619
  • [23] MRIGRT-4D Motion Modeling and Real-Time Online 3D Motion Tracking
    Zhang, Y.
    Wu, X.
    Gach, H.
    Ginn, J.
    Yang, D.
    MEDICAL PHYSICS, 2022, 49 (06) : E605 - E605
  • [24] In-Vivo Comparison of Real-Time 4D Ultrasound Tracking with Electromagnetic Transponders in the Liver During Free Breathing
    Ipsen, S.
    Bruder, R.
    Worm, E.
    Hansen, R.
    Poulsen, P.
    Hoyer, M.
    Schweikard, A.
    MEDICAL PHYSICS, 2017, 44 (06) : 3069 - 3069
  • [25] COMPARATIVE PERFORMANCE OF RESPIRATORY MOTION PREDICTORS FOR REAL-TIME TUMOR TRACKING
    Krauss, A.
    Nill, S.
    Oelfke, U.
    RADIOTHERAPY AND ONCOLOGY, 2011, 99 : S182 - S183
  • [26] A model of respiratory airway motion for real-time tracking of an ultrathin bronchoscope
    Soper, Timothy D.
    Haynor, David R.
    Glenny, Robb W.
    Seibel, Eric J.
    MEDICAL IMAGING 2007: PHYSIOLOGY, FUNCTION, AND STRUCTURE FROM MEDICAL IMAGES, 2007, 6511
  • [27] Real-time Compression and Streaming of 4D Performances
    Tang, Danhang
    Dou, Mingsong
    Lincoln, Peter
    Davidson, Philip
    Guo, Kaiwen
    Taylor, Jonathan
    Fanello, Sean
    Keskin, Cem
    Kowdle, Adarsh
    Bouaziz, Sofien
    Izadi, Shahram
    Tagliasacchi, Andrea
    SIGGRAPH ASIA'18: SIGGRAPH ASIA 2018 TECHNICAL PAPERS, 2018,
  • [28] Real-time Compression and Streaming of 4D Performances
    Tang, Danhang
    Dou, Mingsong
    Lincoln, Peter
    Davidson, Philip
    Guo, Kaiwen
    Taylor, Jonathan
    Fanello, Sean
    Keskin, Cem
    Kowdle, Adarsh
    Bouaziz, Sofien
    Izadi, Shahram
    Tagliasacchi, Andrea
    ACM TRANSACTIONS ON GRAPHICS, 2018, 37 (06):
  • [29] Real-Time 4D Ultrasound Mosaicing and Visualization
    Brattain, Laura J.
    Howe, Robert D.
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, MICCAI 2011, PT I, 2011, 6891 : 105 - 112
  • [30] Real-time volume stitching in 4D echocardiography
    Brekke, S
    Rabben, SI
    Haugen, A
    Haugen, GU
    Steen, EN
    Torp, HG
    2005 IEEE Ultrasonics Symposium, Vols 1-4, 2005, : 1228 - 1231