Literature DB >> 12703762

Measurement and analysis of brain deformation during neurosurgery.

T Hartkens1, 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.   

Abstract

Recent studies have shown that the surface of the brain is deformed by up to 20 mm after the skull is opened during neurosurgery, which could lead to substantial error in commercial image-guided surgery systems. We quantitatively analyze the intraoperative brain deformation of 24 subjects to investigate whether simple rules can describe or predict the deformation. Interventional magnetic resonance images acquired at the start and end of the procedure are registered nonrigidly to obtain deformation values throughout the brain. Deformation patterns are investigated quantitatively with respect to the location and magnitude of deformation, and to the distribution and principal direction of the displacements. We also measure the volume change of the lateral ventricles by manual segmentation. Our study indicates that brain shift occurs predominantly in the hemisphere ipsi-lateral to the craniotomy, and that there is more brain deformation during resection procedures than during biopsy or functional procedures. However, the brain deformation patterns are extremely complex in this group of subjects. This paper quantitatively demonstrates that brain deformation occurs not only at the surface, but also in deeper brain structure, and that the principal direction of displacement does not always correspond with the direction of gravity. Therefore, simple computational algorithms that utilize limited intraoperative information (e.g., brain surface shift) will not always accurately predict brain deformation at the lesion.

Entities:  

Mesh:

Year:  2003        PMID: 12703762     DOI: 10.1109/TMI.2002.806596

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  37 in total

1.  Three-dimensional reconstruction of cranial defect using active contour model and image registration.

Authors:  Yuan-Lin Liao; Chia-Feng Lu; Yung-Nien Sun; Chieh-Tsai Wu; Jiann-Der Lee; Shih-Tseng Lee; Yu-Te Wu
Journal:  Med Biol Eng Comput       Date:  2010-12-03       Impact factor: 2.602

2.  New prototype neuronavigation system based on preoperative imaging and intraoperative freehand ultrasound: system description and validation.

Authors:  Laurence Mercier; Rolando F Del Maestro; Kevin Petrecca; Anna Kochanowska; Simon Drouin; Charles X B Yan; Andrew L Janke; Sean Jy-Shyang Chen; D Louis Collins
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-10-01       Impact factor: 2.924

3.  A fast and efficient method to compensate for brain shift for tumor resection therapies measured between preoperative and postoperative tomograms.

Authors:  Prashanth Dumpuri; Reid C Thompson; Aize Cao; Siyi Ding; Ishita Garg; Benoit M Dawant; Michael I Miga
Journal:  IEEE Trans Biomed Eng       Date:  2010-02-17       Impact factor: 4.538

4.  Robust nonrigid registration to capture brain shift from intraoperative MRI.

Authors:  Olivier Clatz; Hervé Delingette; Ion-Florin Talos; Alexandra J Golby; Ron Kikinis; Ferenc A Jolesz; Nicholas Ayache; Simon K Warfield
Journal:  IEEE Trans Med Imaging       Date:  2005-11       Impact factor: 10.048

5.  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

6.  An atlas-based method to compensate for brain shift: preliminary results.

Authors:  Prashanth Dumpuri; Reid C Thompson; Benoit M Dawant; A Cao; Michael I Miga
Journal:  Med Image Anal       Date:  2007-03-01       Impact factor: 8.545

7.  Haptic guided 3-D deformable image registration.

Authors:  Petter Risholm; Eigil Samset
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-02-24       Impact factor: 2.924

8.  A non-rigid registration framework that accommodates resection and retraction.

Authors:  Petter Risholm; Eigil Samsett; Ion-Florin Talos; William Wells
Journal:  Inf Process Med Imaging       Date:  2009

9.  Brain-skull contact boundary conditions in an inverse computational deformation model.

Authors:  Songbai Ji; David W Roberts; Alex Hartov; Keith D Paulsen
Journal:  Med Image Anal       Date:  2009-06-23       Impact factor: 8.545

10.  A method for the assessment of time-varying brain shift during navigated epilepsy surgery.

Authors:  E De Momi; G Ferrigno; G Bosoni; P Bassanini; P Blasi; G Casaceli; D Fuschillo; L Castana; M Cossu; G Lo Russo; F Cardinale
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-07-17       Impact factor: 2.924

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.