Influence of imaging source and panel position uncertainties on the accuracy of 2D/3D image registration of cranial images

被引:5
|
作者
Warmerdam, Guy [1 ,3 ]
Steininger, Philipp [4 ]
Neuner, Markus [4 ]
Sharp, Gregory [1 ,2 ]
Winey, Brian [1 ,2 ]
机构
[1] Massachusetts Gen Hosp, Boston, MA 02114 USA
[2] Harvard Univ, Sch Med, Boston, MA 02115 USA
[3] Eindhoven Univ Technol, Sch Med Phys & Engn, NL-5600 MB Eindhoven, Netherlands
[4] Paracelsus Med Univ, Inst Res & Dev Adv Radiat Technol, A-5020 Salzburg, Austria
关键词
2D/3D registration; image calibration; CONE-BEAM CT; COMPUTED-TOMOGRAPHY; GEOMETRIC CALIBRATION; QUALITY-ASSURANCE; IMPLEMENTATION; GUIDANCE; SYSTEMS;
D O I
10.1118/1.4742866
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 determine the effects of imager source and panel positioning uncertainties on the accuracy of dual intensity-based 2D/3D image registration of cranial images. Methods: An open source 2D/3D image registration algorithm has been developed for registration of two orthogonal x-rays to a 3D volumetric image. The initialization files of the algorithm allow for nine degrees of freedom system calibration including,v, y, z positions of the source and panel, and three rotational degrees of freedom of the panel about each of the three translational axes. A baseline system calibration was established and a baseline 2D/3D registration between two orthogonal x-rays and the volumetric image was determined. The calibration file was manipulated to insert errors into each of the nine calibration variables of both imager geometries. Rigid six degrees of freedom registrations were iterated for each panel or source positional error over a range of predetermined calibration errors to determine the resulting error in the registration versus the baseline registration due to the manipulated error of the panel or source calibration. Results: Panel and source translational errors orthogonal to the imager/panel axis introduced the greatest errors in the registration accuracy (4.0 mm geometric error results in up to 2.7 mm registration error). Panel rotation about the imaging direction also resulted in errors of the registration (2.0 degrees geometric error results in up to 1.7 degrees registration error). Differences in magnification and panel tilt and roll, i.e., source and/or panel translation along the imaging direction and panel rotations about the orthogonal axes had minimal effects on the registration accuracy (below 0.3 mm and 0.2 degrees registration error). Conclusions: While five of the nine imaging system variables were found to have a considerable effect on 2D/3D registration accuracy of cranial images, the other four variables showed minimal effects. Vendors typically provide simplified calibration procedures which aim to remove encountered geometric uncertainties by accounting for two panel translations. This study shows that at least the five relevant positional variables should be separately calibrated, if accurate alignment is required for 2D/3D registration. (c) 2012 American Association of Physicists in Medicine. [http://dx.doi.org/10.1118/1.4742866]
引用
收藏
页码:5547 / 5556
页数:10
相关论文
共 50 条
  • [31] A method for registration and visualization of 3D MR images and 2D thermographic images for clinical application
    Gariba, MA
    Sanches, IJ
    Pardal, FC
    Bichinho, GL
    CARS 2005: Computer Assisted Radiology and Surgery, 2005, 1281 : 1280 - 1280
  • [32] Real-time registration of 3D to 2D ultrasound images for image-guided prostate biopsy
    Gillies, Derek J.
    Gardi, Lori
    De Silva, Tharindu
    Zhao, Shuang-ren
    Fenster, Aaron
    MEDICAL PHYSICS, 2017, 44 (09) : 4708 - 4723
  • [33] Image Guided Mitral Valve Replacement: Registration of 3D Ultrasound and 2D X-ray Images
    Dormer, James D.
    Bhuiyan, Md Fiaz Islam
    Rahman, Nahian
    Deaton, Nancy
    Sheng, Jun
    Padala, Muralidhar
    Desai, Jaydev P.
    Fei, Baowei
    MEDICAL IMAGING 2020: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 2021, 11315
  • [34] 2D/3D registration of multiple bones
    Ma, Burton
    Stewart, James
    Pichora, David
    Ellis, Randy
    Abolmaesumi, Purang
    2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 860 - 863
  • [35] Deep Iterative 2D/3D Registration
    Jaganathan, Srikrishna
    Wang, Jian
    Borsdorf, Anja
    Shetty, Karthik
    Maier, Andreas
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT IV, 2021, 12904 : 383 - 392
  • [36] 3D IMAGES WITH 2D FOOTPRINT
    Ferre Ferri, Enrique
    REVISTA SONDA-INVESTIGACION Y DOCENCIA EN ARTES Y LETRAS, 2020, (09): : 73 - 82
  • [37] Accuracy of 3D/3D and 3D/2D Registration in Intracranial Radiosurgery Using 6DOF Robotic Couch
    Kuo, H.
    Berry, S.
    Ballangrud, A.
    Atwal, P. S.
    Della Biancia, C.
    Pathare, P.
    Shasha, D.
    Lovelock, D.
    Hunt, M.
    MEDICAL PHYSICS, 2018, 45 (06) : E436 - E436
  • [38] A review of 3D/2D registration methods for image-guided interventions
    Markelj, P.
    Tomazvic, D.
    Likar, B.
    Pernus, F.
    MEDICAL IMAGE ANALYSIS, 2012, 16 (03) : 642 - 661
  • [39] Dynamic 2D Ultrasound and 3D CT Image Registration of the Beating Heart
    Huang, Xishi
    Moore, John
    Guiraudon, Gerard
    Jones, Douglas L.
    Bainbridge, Daniel
    Ren, Jing
    Peters, Terry M.
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2009, 28 (08) : 1179 - 1189
  • [40] Intra-cardiac 2D US to 3D CT image registration
    Huang, Xishi
    Hill, Nicholas A.
    Ren, Jing
    Guiraudon, Gerard
    Peters, Terry M.
    MEDICAL IMAGING 2007: VISUALIZATION AND IMAGE-GUIDED PROCEDURES, PTS 1 AND 2, 2007, 6509