Literature DB >> 11322441

Fiducial point placement and the accuracy of point-based, rigid body registration.

J B West1, J M Fitzpatrick, S A Toms, C R Maurer, R J Maciunas.   

Abstract

OBJECTIVE: To demonstrate that the shape of the configuration of fiducial points is an important factor governing target registration error (TRE) in point-based, rigid registration.
METHODS: We consider two clinical situations: cranial neurosurgery and pedicle screw placement. For cranial neurosurgery, we apply theoretical results concerning TRE prediction, which we have previously derived and validated, to three hypothetical fiducial marker configurations. We illustrate the profile of expected TRE for each configuration. For pedicle screw placement, we apply the same theory to a common anatomic landmark configuration (tips of spinous and transverse processes) used for pedicle screw placement, and we estimate the error rate expected in placement of the screw.
RESULTS: In the cranial neurosurgery example, we demonstrate that relatively small values of TRE may be achieved by using widely spread fiducial markers and/or placing the centroid of the markers near the target. We also demonstrate that near-collinear marker configurations far from the target may result in large TRE values. In the pedicle screw placement example, we demonstrate that the screw must be approximately 4 mm narrower than the pedicle in which it is implanted to minimize the chance of pedicle violation during placement.
CONCLUSION: The placement of fiducial points is an important factor in minimizing the error rate for point-based, rigid registration. By using as many points as possible, avoiding near-collinear configurations, and ensuring that the centroid of the fiducial points is as near as possible to the target, TREs can be minimized.

Entities:  

Mesh:

Year:  2001        PMID: 11322441     DOI: 10.1097/00006123-200104000-00023

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  66 in total

1.  [3-D navigation in the petrous bone with submillimeter accuracy].

Authors:  F Kral; W Freysinger
Journal:  HNO       Date:  2004-08       Impact factor: 1.284

2.  Marker-free registration for the accurate integration of CT images and the subject's anatomy during navigation surgery of the maxillary sinus.

Authors:  S-H Kang; M-K Kim; J-H Kim; H-K Park; W Park
Journal:  Dentomaxillofac Radiol       Date:  2012-04-12       Impact factor: 2.419

3.  Potential use of computer navigation in the treatment of primary benign and malignant tumors in children.

Authors:  Kevan Saidi
Journal:  Curr Rev Musculoskelet Med       Date:  2012-06

Review 4.  A review of image-guided radiotherapy.

Authors:  George T Y Chen; Gregory C Sharp; Shinichiro Mori
Journal:  Radiol Phys Technol       Date:  2008-12-16

5.  Strategy for accurate liver intervention by an optical tracking system.

Authors:  Qinyong Lin; Rongqian Yang; Ken Cai; Peifeng Guan; Weihu Xiao; Xiaoming Wu
Journal:  Biomed Opt Express       Date:  2015-08-07       Impact factor: 3.732

6.  Automatic method to assess local CT-MR imaging registration accuracy on images of the head.

Authors:  Ion P I Pappas; Martin Styner; Puja Malik; Luca Remonda; Marco Caversaccio
Journal:  AJNR Am J Neuroradiol       Date:  2005-01       Impact factor: 3.825

7.  Effects of point configuration on the accuracy in 3D reconstruction from biplane images.

Authors:  Jacek Dmochowski; Kenneth R Hoffmann; Vikas Singh; Jinhui Xu; Daryl P Nazareth
Journal:  Med Phys       Date:  2005-09       Impact factor: 4.071

8.  A method to track cortical surface deformations using a laser range scanner.

Authors:  Tuhin K Sinha; Benoit M Dawant; Valerie Duay; David M Cash; Robert J Weil; Reid C Thompson; Kyle D Weaver; Michael I Miga
Journal:  IEEE Trans Med Imaging       Date:  2005-06       Impact factor: 10.048

9.  Minimization of target registration error for vertebra in image-guided spine surgery.

Authors:  Marzieh Ershad; Alireza Ahmadian; Nassim Dadashi Serej; Hooshang Saberi; Keyvan Amini Khoiy
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-07-03       Impact factor: 2.924

10.  RepliExplore: coupling physical and virtual anatomy models.

Authors:  Mathias Seitel; Lena Maier-Hein; Alexander Seitel; Alfred M Franz; Hannes Kenngott; Raffaele De Simone; Ivo Wolf; Hans-Peter Meinzer
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-06-03       Impact factor: 2.924

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.