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 50 条
  • [21] Validation of 3D-laser surface registration for image-guided cranio-maxillofacial surgery
    Hoffmann, J
    Westendorff, C
    Leitner, C
    Bartz, D
    Reinert, S
    JOURNAL OF CRANIO-MAXILLOFACIAL SURGERY, 2005, 33 (01) : 13 - 18
  • [22] Implementation and incorporation of liver 3-D surface renderings into interactive, image-guided hepatic surgery
    Beasley, RA
    Stefansic, JD
    Herring, JL
    Bass, WA
    Herline, AJ
    Chapman, WC
    Dawant, BM
    Galloway, RL
    MEDICAL IMAGING 2000: IMAGE DISPLAY AND VISUALIZATION, 2000, 3976 : 282 - 289
  • [23] Ultrasound-to-computer-tomography registration for image-guided laparoscopic liver surgery
    P. Bao
    J. Warmath
    R. Galloway
    A. Herline
    Surgical Endoscopy And Other Interventional Techniques, 2005, 19 : 424 - 429
  • [24] Ultrasound-to-computer-tomography registration for image-guided laparoscopic liver surgery
    Bao, P
    Warmath, J
    Galloway, R
    Herline, A
    SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2005, 19 (03): : 424 - 429
  • [25] INTRAOPERATIVE SURGICAL NAVIGATION BASED ON LASER SCANNER FOR IMAGE-GUIDED ORAL AND MAXILLOFACIAL SURGERY
    Li, Fang
    Huang, Conggang
    Feng, Xiangming
    Wang, Le
    Zhang, Chuxi
    Chen, Xinrong
    JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, 2024, 24 (02)
  • [26] Multimodal image registration system for image-guided orthopaedic surgery
    J. Zhang
    C. H. Yan
    C. K. Chui
    S. H. Ong
    S. C. Wang
    Machine Vision and Applications, 2011, 22 : 851 - 863
  • [27] Asymmetrical surface scanning registration for image-guided otologic surgery: A phantom study
    Matsumoto, Nozomu
    Yamashita, Makoto
    Cho, Byunghyun
    Komune, Noritaka
    Hashizume, Makoto
    AURIS NASUS LARYNX, 2020, 47 (04) : 574 - 579
  • [28] Multimodal image registration system for image-guided orthopaedic surgery
    Zhang, J.
    Yan, C. H.
    Chui, C. K.
    Ong, S. H.
    Wang, S. C.
    MACHINE VISION AND APPLICATIONS, 2011, 22 (05) : 851 - 863
  • [29] Endoscopic Laser Range Scanner for Minimally Invasive, Image Guided Kidney Surgery
    Friets, Eric
    Bieszczad, Jerry
    Kynor, David
    Norris, James
    Davis, Brynmor
    Allen, Lindsay
    Chambers, Robert
    Wolf, Jacob
    Glisson, Courtenay
    Herrell, S. Duke
    Galloway, Robert L.
    MEDICAL IMAGING 2013: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 2013, 8671
  • [30] Automatic and Fast Registration Method for Image-Guided Surgery
    Wen, Xi
    Wang, Hong
    Zhai, Weiming
    2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2014,