Spatial and rotational quality assurance of 6DOF patient tracking systems

被引:7
|
作者
Belcher, Andrew H. [1 ]
Liu, Xinmin [1 ]
Grelewicz, Zachary [1 ]
Wiersma, Rodney D. [1 ]
机构
[1] Univ Chicago, Dept Radiat & Cellular Oncol, Chicago, IL 60637 USA
基金
美国国家卫生研究院;
关键词
6DOF external tracking; quality assurance; optical surface mapping; IR marker tracking; RADIATION-THERAPY; IMAGING-SYSTEM; ACCURACY; LOCALIZATION; RADIOSURGERY; RADIOTHERAPY; CALIBRATION;
D O I
10.1118/1.4948506
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: External tracking systems used for patient positioning and motion monitoring during radiotherapy are now capable of detecting both translations and rotations. In this work, the authors develop a novel technique to evaluate the 6 degree of freedom 6(DOF) (translations and rotations) performance of external motion tracking systems. The authors apply this methodology to an infrared marker tracking system and two 3D optical surface mapping systems in a common tumor 6DOF workspace. Methods: An in-house designed and built 6DOF parallel kinematics robotic motion phantom was used to perform motions with sub-millimeter and subdegree accuracy in a 6DOF workspace. An infrared marker tracking system was first used to validate a calibration algorithm which associates the motion phantom coordinate frame to the camera frame. The 6DOF positions of the mobile robotic system in this space were then tracked and recorded independently by an optical surface tracking system after a cranial phantom was rigidly fixed to the moveable platform of the robotic stage. The calibration methodology was first employed, followed by a comprehensive 6DOF trajectory evaluation, which spanned a full range of positions and orientations in a 20x20x16 mm and 5(circle) x5(circle) x5(circle) workspace. The intended input motions were compared to the calibrated 6DOF measured points. Results: The technique found the accuracy of the infrared (IR) marker tracking system to have maximal root-mean square error (RMSE) values of 0.18, 0.25, 0.07 mm, 0.05(circle), 0.05(circle), and 0.09(circle) in left-right (LR), superior-inferior (SI), anterior-posterior (AP), pitch, roll, and yaw, respectively, comparing the intended 6DOF position and the measured position by the IR camera. Similarly, the 6DOF RSME discrepancy for the HD optical surface tracker yielded maximal values of 0.46, 0.60, 0.54 mm, 0.06(circle), 0.11(circle), and 0.08(circle) in LR, SI, AP, pitch, roll, and yaw, respectively, over the same 6DOF evaluative workspace. An earlier generation 3D optical surface tracking unit was observed to have worse tracking capabilities than both the IR camera unit and the newer 3D surface tracking system with maximal RMSE of 0.69, 0.74, 0.47 mm, 0.28(circle), 0.19(circle),and 0.18(circle), in LR, SI, AP, pitch, roll, and yaw, respectively, in the same 6DOF evaluation space. Conclusions: The proposed technique was found to be effective at evaluating the performance of 6DOF patient tracking systems. All observed optical tracking systems were found to exhibit tracking capabilities at the sub-millimeter and subdegree level within a 6DOF workspace. (C) 2016 American Association of Physicists in Medicine.
引用
收藏
页码:2785 / 2793
页数:9
相关论文
共 50 条
  • [41] A 6DoF Fiducial Tracking Method Based on Topological Region Adjacency and Angle Information for Tangible Interaction
    Nishino, Hiroki
    TEI 2010, 2010, : 253 - 256
  • [42] Adaptive finite-time tracking control of 6DOF spacecraft motion with inertia parameter identification
    Zhao, Qin
    Duan, Guangren
    IET CONTROL THEORY AND APPLICATIONS, 2019, 13 (13): : 2075 - 2085
  • [43] Quality assurance of the cyberknife fiducial and skull tracking systems
    Ho, A
    Cotrutz, C
    Chang, SD
    Adler, JR
    Gibbs, IC
    RADIOSUGERY, VOL 5, 2004, 5 : 255 - 259
  • [44] Towards Quality Assessment for Arbitrary Translational 6DoF Video: Subjective Quality Database and Objective Assessment Metric
    Jin, Chongchong
    Chen, Yeyao
    ENTROPY, 2025, 27 (01)
  • [45] Real-Time 6DOF Pose Relocalization for Event Cameras with Stacked Spatial LSTM Networks
    Anh Nguyen
    Thanh-Toan Do
    Caldwell, Darwin G.
    Tsagarakis, Nikos G.
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019), 2019, : 1638 - 1645
  • [46] Affine Correspondences Between Multi-camera Systems for 6DOF Relative Pose Estimation
    Guan, Banglei
    Zhao, Ji
    COMPUTER VISION - ECCV 2022, PT XXXII, 2022, 13692 : 634 - 650
  • [47] Robust 6DOF motion estimation for non-overlapping, multi-camera systems
    Clipp, Brian
    Kim, Jae-Hak
    Frahm, Jan-Michael
    Pollefeys, Marc
    Hartley, Richard
    2008 IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION, 2008, : 125 - +
  • [48] Real-time Monocular 6DoF Tracking of Textureless Objects using Photometrically-enhanced Edges
    Valenca, Lucas
    Silva, Luca
    Chaves, Thiago
    Gomes, Arlindo
    Figueiredo, Lucas
    Cossio, Lucio
    Tandel, Sebastien
    Lima, Joao Paulo
    Simoes, Francisco
    Teichrieb, Veronica
    VISAPP: PROCEEDINGS OF THE 16TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL. 5: VISAPP, 2021, : 763 - 773
  • [49] The first clinical implementation of real-time 6DoF tumour tracking for liver SABR in the LARK trial
    Sengupta, Chandrima
    Nguyen, Doan T.
    Moodie, Trevor
    Zwan, Benjamin
    Liu, Sau Fan
    Mason, Daniel
    Causer, Trent
    Luo, Jianjie
    Hardcastle, Nicholas
    Inskip, Lauren
    Cone, Rebecca
    Tacon, Benjamin
    Brown, Elizabeth
    Stewart, Maegan
    Arumugam, Sankar
    Wang, Tim
    Tang, Simon
    Lee, Yoo Young
    Van Gysen, Kirsten
    Chu, Julie
    Li, Yifan
    Greer, Peter
    Booth, Jeremy
    O'Brien, Ricky
    Keall, Paul
    RADIOTHERAPY AND ONCOLOGY, 2024, 194 : S4228 - S4231
  • [50] 6DoF Object Tracking based on 3D Scans for Augmented Reality Remote Live Support
    Rambach, Jason
    Pagani, Alain
    Schneider, Michael
    Artemenko, Oleksandr
    Stricker, Didier
    COMPUTERS, 2018, 7 (01)