Incorporation of a laser range scanner into image-guided liver surgery: Surface acquisition, registration, and tracking

被引:60
作者
Cash, DM
Sinha, TK
Chapman, WC
Terawaki, H
Dawant, BM
Galloway, RL
Miga, MI
机构
[1] Vanderbilt Univ, Dept Biomed Engn, Nashville, TN 37235 USA
[2] Washington Univ, Sch Med, Dept Surg & Cell Biol, Sect Transplantat, St Louis, MO 63110 USA
[3] Duke Univ, Dept Biomed Engn, Durham, NC 27708 USA
[4] Vanderbilt Univ, Dept Elect Engn & Comp Sci, Nashville, TN 37235 USA
关键词
D O I
10.1118/1.1578911
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
As image guided surgical procedures become increasingly diverse, there will be more scenarios where point-based fiducials cannot be accurately localized for registration and rigid body assumptions no longer hold. As a result, procedures will rely more frequently on anatomical surfaces for the basis of image alignment and will require intraoperative geometric data to measure and compensate for tissue deformation in the organ. In this paper we outline methods for which a laser range scanner may be used to accomplish these tasks intraoperatively. A laser range scanner based on the optical principle of triangulation acquires a dense set of three-dimensional point data in a very rapid, noncontact fashion. Phantom studies were performed to test the ability to link range scan data with traditional modes of image-guided surgery data through localization, registration, and tracking in physical space. The experiments demonstrate that the scanner is capable of localizing point-based fiducials to within 0.2 mm and capable of achieving point and surface based registrations with target registration error of less than 2.0 mm. Tracking points in physical space with the range scanning system yields an error of 1.4+/-0.8 mm. Surface deformation studies were performed with the range scanner in order to determine if this device was capable of acquiring enough information for compensation algorithms. In the surface deformation studies, the range scanner was able to detect changes in surface shape due to deformation comparable to those detected by tomographic image studies. Use of the range scanner has been approved for clinical trials, and an initial intraoperative range scan experiment is presented. In all of these studies, the primary source of error in range scan data is deterministically related to the position and orientation of the surface within the scanner's field of view. However, this systematic error can be corrected, allowing the range scanner to provide a rapid, robust method of acquiring anatomical surfaces intraoperatively. (C) 2003 American Association of Physicists in Medicine.
引用
收藏
页码:1671 / 1682
页数:12
相关论文
共 46 条
  • [11] Chabanas M, 2000, LECT NOTES COMPUT SC, V1935, P1068
  • [12] Intraoperative ultrasound for guidance and tissue shift correction in image-guided neurosurgery
    Comeau, RM
    Sadikot, AF
    Fenster, A
    Peters, TM
    [J]. MEDICAL PHYSICS, 2000, 27 (04) : 787 - 800
  • [13] Couinaud C., 1957, FOIE ETUDES ANATOMIQ
  • [14] CURLESS B, 1995, FIFTH INTERNATIONAL CONFERENCE ON COMPUTER VISION, PROCEEDINGS, P987, DOI 10.1109/ICCV.1995.466772
  • [15] Toward realistic soft-tissue modeling in medical simulation
    Delingette, H
    [J]. PROCEEDINGS OF THE IEEE, 1998, 86 (03) : 512 - 523
  • [16] LASER TRIANGULATION - FUNDAMENTAL UNCERTAINTY IN DISTANCE MEASUREMENT
    DORSCH, RG
    HAUSLER, G
    HERRMANN, JM
    [J]. APPLIED OPTICS, 1994, 33 (07): : 1306 - 1314
  • [17] Edwards P J, 1998, Med Image Anal, V2, P355, DOI 10.1016/S1361-8415(98)80016-9
  • [18] ENGLE DJ, 1987, J NEURO-ONCOL, V4, P361
  • [19] Analysis of digitizing errors of a laser scanning system
    Feng, HY
    Liu, YX
    Xi, FF
    [J]. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2001, 25 (03): : 185 - 191
  • [20] Registration of 3-D intraoperative MR images of the brain using a finite-element biomechanical model
    Ferrant, M
    Nabavi, A
    Macq, B
    Jolesz, FA
    Kikinis, R
    Warfield, SK
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2001, 20 (12) : 1384 - 1397