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Publication Detail
Measurement and analysis of brain deformation during neurosurgery
  • Publication Type:
    Journal article
  • Publication Sub Type:
  • Authors:
    Hartkens T, Hill DL, Castellano-Smith AD, Hawkes DJ, Maurer CR, Jr M, A J H, W A L, H T, C L
  • Publisher:
  • Publication date:
  • Pagination:
    82, 92
  • Journal:
    IEEE Transactions on Medical Imaging
  • Volume:
  • Issue:
  • Print ISSN:
  • Keywords:
    Adult, Aged, 80 and over, Algorithms, Brain, anatomy & histology, surgery, Brain Diseases, diagnosis, Cerebral Ventricles, Child, Preschool, Craniotomy, methods, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Models, Biological, Monitoring, Intraoperative, Motion, Reproducibility of Results, Research Support, Non-U.S.Gov't, Sensitivity and Specificity, Subtraction Technique, Surgery
  • Addresses:
    Computational Imaging Science Group, Guy's Hospital, King's College London, London SE1 9RT, UK
  • Notes:
    DA - 20030421
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
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