Advanced search
Publication Cover
Computer Assisted Surgery Volume 24, 2019 - Issue sup1: Advances in Minimally Invasive Surgery and Clinical Measurement. Guest Editors: Chengyu Liu & Lung-kwang Pan
Submit an article Journal homepage
2,414
Views
13
CrossRef citations to date
0
Altmetric
Article

A targeting method for robot-assisted percutaneous needle placement under fluoroscopy guidance

Zhonghao HanSchool of Mechanical Engineering and Automation, Beihang University, Beijing, China; View further author information
,
Keyi YuDepartment of Orthopaedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China; View further author information
,
Lei HuSchool of Mechanical Engineering and Automation, Beihang University, Beijing, China; View further author information
,
Weishi LiOrthopaedic Department, Peking University Third Hospital, Beijing, China; Correspondence[email protected]
View further author information
,
Huilin YangDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, Suzhou, ChinaView further author information
,
Minfeng GanDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, Suzhou, ChinaView further author information
,
Na GuoSchool of Mechanical Engineering and Automation, Beihang University, Beijing, China; View further author information
,
Biao YangSchool of Mechanical Engineering and Automation, Beihang University, Beijing, China; View further author information
,
Hongsheng LiuSchool of Mechanical Engineering and Automation, Beihang University, Beijing, China; View further author information
&
Yuhan WangSchool of Mechanical Engineering and Automation, Beihang University, Beijing, China; View further author information
 show all
Pages 44-52 | Published online: 28 Jan 2019

References

  • Mack MJ. Minimally invasive and robotic surgery. JAMA. 2001;285:568–572.
  • Dogangil G, Davies BL, Rodriguez y Baena F. A review of medical robotics for minimally invasive soft tissue surgery. Proc Inst Mech Eng H. 2010;224:653–679.
  • Wang W, Shi Y, Goldenberg AA, et al. Experimental analysis of robot-assisted needle insertion into porcine liver. BME. 2015;26:S375–S380.,
  • Wang WD, Zhang P, Shi YK, et al. Design and compatibility evaluation of magnetic resonance imaging-guided needle insertion system. J Med Imaging Health Inform. 2015;5:1963–1967.
  • Barbash GI, Glied SA. New technology and health care costs-the case of robot-assisted surgery. N Engl J Med. 2010;363:701–704.
  • Yaniv Z, Joskowicz L. Precise robot-assisted guide positioning for distal locking of intramedullary nails. IEEE Trans Med Imaging. 2005;24:624–635.
  • Bernardes MC, Adorno BV, Poignet P, et al. Robot-assisted automatic insertion of steerable needles with closed-loop imaging feedback and intraoperative trajectory replanning. Mechatronics. 2013;23:630–645.
  • Ringel F, Stüer C, Reinke A, et al. Accuracy of robot-assisted placement of lumbar and sacral pedicle screws: a prospective randomized comparison to conventional freehand screw implantation. Spine. 2012;37:E496–E501.
  • Yoon HM, Cho H, Park K, et al. Method for C-arm based guide needle insertion assistant system for endoscopic disc surgery. Korean J Comput Des Eng. 2015;20:263–268.,
  • Yao J, Taylor RH, Goldberg RP, et al. AC‐arm fluoroscopy‐guided progressive cut refinement strategy using a surgical robot. Computer Aided Surgery. 2000;5:373–390.,
  • Laudato PA, Pierzchala K, Schizas C. pedicle screw insertion accuracy using O-arm, robotic guidance, or freehand technique. Spine. 2018;43:E373–E378.
  • Schreiner S, Anderson JH, Taylor RH, et al. A system for percutaneous delivery of treatment with a fluoroscopically-guided robot. In: CVRMed-MRCAS'97. Berlin, Heidelberg: Springer; 1997. p. 747–756.
  • Czerny C, Eichler K, Croissant Y, et al. Combining C-arm CT with a new remote operated positioning and guidance system for guidance of minimally invasive spine interventions. J Neurointervent Surg. 2014;7:303–308.
  • Bzostek A, Schreiner S, Barnes AC, et al. An automated system for precise percutaneous access of the renal collecting system. In: CVRMed-MRCAS'97. Berlin, Heidelberg: Springer; 1997. p. 299–308.
  • Kim S, Chung J, Yi BJ, et al. An assistive image-guided surgical robot system using O-arm fluoroscopy for pedicle screw insertion: preliminary and cadaveric study. Neurosurgery. 2010;67:1757–1767.
  • Patriciu A, Stoianovici D, Whitcomb LL, et al. October. Motion-based robotic instrument targeting under C-arm fluoroscopy. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Berlin, Heidelberg: Springer; 2000. p. 988–998.
  • Navab N, Bascle B, Loser M, et al. Visual servoing for automatic and uncalibrated needle placement for percutaneous procedures. In: Proceedings IEEE conference on computer vision and pattern recognition, 2000. Hilton Head Island, USA: IEEE; 2000. Vol. 2, p. 327–334.
  • Navab N, Wiesner S, Benhimane S, et al. Visual servoing for intraoperative positioning and repositioning of mobile C-arms. In: International conference on medical image computing and computer-assisted intervention. Berlin, Heidelberg: Springer; 2006. p. 551–560.
  • Bascle B, Navab N, Loser M, et al. Needle placement under X-ray fluoroscopy using perspective invariants. In Proceedings IEEE workshop on mathematical methods in biomedical image analysis, 2000. Hilton Head Island, USA: IEEE; 2000. p.46–53.
  • Szeliski R. 2010. Computer vision: algorithms and applications. Ithaca, New York: Springer Science & Business Media.
  • Heikkila J, Silven O. A four-step camera calibration procedure with implicit image correction. In Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition. (pp. 1106–1112). IEEE; 1997.
  • Tsai R. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE J Robot Automat. 1987;3:323–344.
  • Li X, Zhang D, Liu B. A generic geometric calibration method for tomographic imaging systems with flat‐panel detectors—a detailed implementation guide. Med Phys. 2010;37:3844–3854.
  • Li X, Zhang D, Liu B. Sensitivity analysis of a geometric calibration method using projection matrices for digital tomosynthesis systems. Medical Physics 2010;38:202–209.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.