Implementation, calibration and accuracy testing of an image-enhanced endoscopy system

被引:117
作者
Shahidi, R
Bax, MR
Maurer, CR
Johnson, JA
Wilkinson, EP
Wang, B
West, JB
Citardi, MJ
Manwaring, KH
Khadem, R
机构
[1] Stanford Univ, Dept Neurosurg, Image Guidance Labs, Stanford, CA 94305 USA
[2] Univ Iowa, Dept Otolaryngol Head & Neck Surg, Iowa City, IA 52242 USA
[3] CBYON Inc, Mountain View, CA 94043 USA
[4] Cleveland Clin Fdn, Dept Otorhinolaryngol & Communicat Disorders, Cleveland, OH 44195 USA
[5] Phoenix Childrens Hosp, Barrow Neurol Inst, Phoenix, AZ 85013 USA
关键词
camera calibration; image-guided surgery; lens-distortion correction; minimally invasive therapy; perspective volume rendering; virtual endoscopy;
D O I
10.1109/TMI.2002.806597
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a new method for image-guided surgery called image-enhanced endoscopy. Registered real and virtual endoscopic images (perspective volume renderings generated from the same view as the endoscope camera using a preoperative image) are displayed simultaneously; when combined with the ability to vary tissue transparency in the virtual images, this provides surgeons with the ability to see beyond visible surfaces and, thus, provides additional exposure during surgery. A mount with four photoreflective spheres is rigidly attached to the endoscope and its position and orientation is tracked using an optical position sensor. Generation of virtual images that are accurately registered to the real endoscopic images requires calibration of the tracked endoscope. The calibration process determines intrinsic parameters (that represent the projection of three-dimensional points onto the two-dimensional endoscope camera imaging plane) and extrinsic parameters (that represent the transformation from the coordinate system of the tracker mount attached to the endoscope to the coordinate system of the endoscope camera), and determines radial lens distortion. The calibration routine is fast, automatic, accurate and reliable, and is insensitive to rotational orientation of the endoscope. The routine automatically detects, localizes, and identifies dots in a video image snapshot of the calibration target grid and determines the calibration parameters from the sets of known physical coordinates and localized image coordinates of the target grid dots. Using nonlinear lens-distortion correction, which can be performed at real-time rates (30 frames per second), the mean projection error is less than 0.5 mm at distances up to 25 mm from the endoscope tip, and less than 1.0 mm up to 45 mm. Experimental measurements and point-based registration error theory show that the tracking error is about 0.5-4.7 mm at the tip of the endoscope and less than 0.9 mm for all points in the field of view of the endoscope camera at a distance of up to 65 mm from the tip. It is probable that much of the projection error is due to endoscope tracking error rather than calibration error. Two examples of clinical applications are presented to illustrate the usefulness of image-enhanced endoscopy. This method is a useful addition to conventional image-guidance systems, which generally show only the position of the tip (and sometimes the orientation) of a surgical instrument or probe on reformatted image slices.
引用
收藏
页码:1524 / 1535
页数:12
相关论文
共 42 条
  • [1] A new approach for nonlinear distortion correction in endoscopic images based on least squares estimation
    Asari, KV
    Kumar, S
    Radhakrishnan, D
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 1999, 18 (04) : 345 - 354
  • [2] BAX MR, 2002, IN PRESS P SPIE, V4681
  • [3] A head-mounted operating binocular for augmented reality visualization in medicine - Design and initial evaluation
    Birkfellner, W
    Figl, M
    Huber, K
    Watzinger, F
    Wanschitz, F
    Hummel, J
    Hanel, R
    Greimel, W
    Homolka, P
    Ewers, R
    Bergmann, H
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2002, 21 (08) : 991 - 997
  • [4] Using photo-consistency to register 2D optical images of the human face to a 3D surface model
    Clarkson, MJ
    Rueckert, D
    Hill, DLG
    Hawkes, DJ
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (11) : 1266 - 1280
  • [5] Automatic fusion of freehand endoscopic brain images to three-dimensional surfaces: Creating stereoscopic panoramas
    Dey, D
    Gobbi, DG
    Slomka, PJ
    Surry, KJM
    Peters, TM
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2002, 21 (01) : 23 - 30
  • [6] Design and evaluation of a system for microscope-assisted guided interventions (MAGI)
    Edwards, PJ
    King, AP
    Maurer, CR
    de Cunha, DA
    Hawkes, DJ
    Hill, DLG
    Gaston, RP
    Fenlon, MR
    Jusczyzck, A
    Strong, AJ
    Chandler, CL
    Gleeson, MJ
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2000, 19 (11) : 1082 - 1093
  • [7] Fitzpatrick J.M., 2000, Handbook of Medical Imaging, VII, P447, DOI DOI 10.1117/3.831079.CH8
  • [8] Predicting error in rigid-body point-based registration
    Fitzpatrick, JM
    West, JB
    Maurer, CR
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 1998, 17 (05) : 694 - 702
  • [9] A FRAMELESS STEREOTAXIC OPERATING MICROSCOPE FOR NEUROSURGERY
    FRIETS, EM
    STROHBEHN, JW
    HATCH, JF
    ROBERTS, DW
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1989, 36 (06) : 608 - 617
  • [10] Germano IM, 2002, ADV TECHNIQUES IMAGE