Literature DB >> 25077845

Cortical surface shift estimation using stereovision and optical flow motion tracking via projection image registration.

Songbai Ji1, Xiaoyao Fan2, David W Roberts3, Alex Hartov2, Keith D Paulsen4.   

Abstract

Stereovision is an important intraoperative imaging technique that captures the exposed parenchymal surface noninvasively during open cranial surgery. Estimating cortical surface shift efficiently and accurately is critical to compensate for brain deformation in the operating room (OR). In this study, we present an automatic and robust registration technique based on optical flow (OF) motion tracking to compensate for cortical surface displacement throughout surgery. Stereo images of the cortical surface were acquired at multiple time points after dural opening to reconstruct three-dimensional (3D) texture intensity-encoded cortical surfaces. A local coordinate system was established with its z-axis parallel to the average surface normal direction of the reconstructed cortical surface immediately after dural opening in order to produce two-dimensional (2D) projection images. A dense displacement field between the two projection images was determined directly from OF motion tracking without the need for feature identification or tracking. The starting and end points of the displacement vectors on the two cortical surfaces were then obtained following spatial mapping inversion to produce the full 3D displacement of the exposed cortical surface. We evaluated the technique with images obtained from digital phantoms and 18 surgical cases - 10 of which involved independent measurements of feature locations acquired with a tracked stylus for accuracy comparisons, and 8 others of which 4 involved stereo image acquisitions at three or more time points during surgery to illustrate utility throughout a procedure. Results from the digital phantom images were very accurate (0.05 pixels). In the 10 surgical cases with independently digitized point locations, the average agreement between feature coordinates derived from the cortical surface reconstructions was 1.7-2.1mm relative to those determined with the tracked stylus probe. The agreement in feature displacement tracking was also comparable to tracked probe data (difference in displacement magnitude was <1mm on average). The average magnitude of cortical surface displacement was 7.9 ± 5.7 mm (range 0.3-24.4 mm) in all patient cases with the displacement components along gravity being 5.2 ± 6.0 mm relative to the lateral movement of 2.4 ± 1.6 mm. Thus, our technique appears to be sufficiently accurate and computationally efficiency (typically ∼15 s), for applications in the OR.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Brain shift; Displacement mapping; Motion tracking; Optical flow; Stereovision

Mesh:

Year:  2014        PMID: 25077845      PMCID: PMC4158407          DOI: 10.1016/j.media.2014.07.001

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  25 in total

1.  Intraoperative ultrasound for guidance and tissue shift correction in image-guided neurosurgery.

Authors:  R M Comeau; A F Sadikot; A Fenster; T M Peters
Journal:  Med Phys       Date:  2000-04       Impact factor: 4.071

2.  Measurement and analysis of brain deformation during neurosurgery.

Authors:  T Hartkens; D L G Hill; A D Castellano-Smith; D J Hawkes; C R Maurer; A J Martin; W A Hall; H Liu; C L Truwit
Journal:  IEEE Trans Med Imaging       Date:  2003-01       Impact factor: 10.048

3.  Cortical surface registration for image-guided neurosurgery using laser-range scanning.

Authors:  Michael I Miga; Tuhin K Sinha; David M Cash; Robert L Galloway; Robert J Weil
Journal:  IEEE Trans Med Imaging       Date:  2003-08       Impact factor: 10.048

4.  Cortical surface strain estimation using stereovision.

Authors:  Songbai Ji; Xiaoyao Fan; David W Roberts; Keith D Paulsen
Journal:  Med Image Comput Comput Assist Interv       Date:  2011

5.  A fully automated calibration method for an optical see-through head-mounted operating microscope with variable zoom and focus.

Authors:  Michael Figl; Christopher Ede; Johann Hummel; Felix Wanschitz; Rolf Ewers; Helmar Bergmann; Wolfgang Birkfellner
Journal:  IEEE Trans Med Imaging       Date:  2005-11       Impact factor: 10.048

6.  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

7.  Stereopsis-guided brain shift compensation.

Authors:  Hai Sun; Karen E Lunn; Hany Farid; Ziji Wu; David W Roberts; Alex Hartov; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2005-08       Impact factor: 10.048

8.  Intraoperative magnetic resonance imaging to update interactive navigation in neurosurgery: method and preliminary experience.

Authors:  C R Wirtz; M M Bonsanto; M Knauth; V M Tronnier; F K Albert; A Staubert; S Kunze
Journal:  Comput Aided Surg       Date:  1997

9.  Measurement of intraoperative brain surface deformation under a craniotomy.

Authors:  D L Hill; C R Maurer; R J Maciunas; J A Barwise; J M Fitzpatrick; M Y Wang
Journal:  Neurosurgery       Date:  1998-09       Impact factor: 4.654

10.  A surface registration method for quantification of intraoperative brain deformations in image-guided neurosurgery.

Authors:  Perrine Paul; Xavier Morandi; Pierre Jannin
Journal:  IEEE Trans Inf Technol Biomed       Date:  2009-06-19
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  17 in total

1.  Superficial vessel reconstruction with a multiview camera system.

Authors:  Filipe M M Marreiros; Sandro Rossitti; Per M Karlsson; Chunliang Wang; Torbjörn Gustafsson; Per Carleberg; Örjan Smedby
Journal:  J Med Imaging (Bellingham)       Date:  2016-01-05

2.  Image Updating for Brain Shift Compensation During Resection.

Authors:  Xiaoyao Fan; David W Roberts; Jonathan D Olson; Songbai Ji; Timothy J Schaewe; David A Simon; Keith D Paulsen
Journal:  Oper Neurosurg (Hagerstown)       Date:  2018-04-01       Impact factor: 2.703

3.  A comparison of thin-plate spline deformation and finite element modeling to compensate for brain shift during tumor resection.

Authors:  Sarah Frisken; Ma Luo; Parikshit Juvekar; Adomas Bunevicius; Ines Machado; Prashin Unadkat; Melina M Bertotti; Matt Toews; William M Wells; Michael I Miga; Alexandra J Golby
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-08-23       Impact factor: 2.924

4.  Patient Registration Using Intraoperative Stereovision in Image-guided Open Spinal Surgery.

Authors:  Songbai Ji; Xiaoyao Fan; Keith D Paulsen; David W Roberts; Sohail K Mirza; S Scott Lollis
Journal:  IEEE Trans Biomed Eng       Date:  2015-03-26       Impact factor: 4.538

5.  Marker-less tracking of brain surface deformations by non-rigid registration integrating surface and vessel/sulci features.

Authors:  Jue Jiang; Yoshikazu Nakajima; Yoshio Sohma; Toki Saito; Taichi Kin; Horoshi Oyama; Nobuhito Saito
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-03-05       Impact factor: 2.924

6.  Fluorescence depth estimation from wide-field optical imaging data for guiding brain tumor resection: a multi-inclusion phantom study.

Authors:  Dennis Wirth; Kolbein Kolste; Stephen Kanick; David W Roberts; Frédéric Leblond; Keith D Paulsen
Journal:  Biomed Opt Express       Date:  2017-07-14       Impact factor: 3.732

7.  Quantification of Subdural Electrode Shift Between Initial Implantation, Postimplantation Computed Tomography, and Subsequent Resection Surgery.

Authors:  Xiaoyao Fan; David W Roberts; Yasmin Kamal; Jonathan D Olson; Keith D Paulsen
Journal:  Oper Neurosurg (Hagerstown)       Date:  2019-01-01       Impact factor: 2.703

Review 8.  Computational Modeling for Enhancing Soft Tissue Image Guided Surgery: An Application in Neurosurgery.

Authors:  Michael I Miga
Journal:  Ann Biomed Eng       Date:  2015-09-09       Impact factor: 3.934

9.  Retrospective study comparing model-based deformation correction to intraoperative magnetic resonance imaging for image-guided neurosurgery.

Authors:  Ma Luo; Sarah F Frisken; Jared A Weis; Logan W Clements; Prashin Unadkat; Reid C Thompson; Alexandra J Golby; Michael I Miga
Journal:  J Med Imaging (Bellingham)       Date:  2017-09-13

10.  Intraoperative image updating for brain shift following dural opening.

Authors:  Xiaoyao Fan; David W Roberts; Timothy J Schaewe; Songbai Ji; Leslie H Holton; David A Simon; Keith D Paulsen
Journal:  J Neurosurg       Date:  2016-09-09       Impact factor: 5.115

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