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Automatic Image Registration Provides Superior Accuracy Compared with Surface Matching in Cranial Navigation.

Henrik Frisk1,2, Margret Jensdottir1,2, Luisa Coronado3

  • 1Department of Clinical Neuroscience, Karolinska Institutet, SE 17177 Stockholm, Sweden.

Sensors (Basel, Switzerland)
|November 27, 2024
PubMed
Summary

Automatic image registration (AIR) using intraoperative imaging offers superior accuracy for cranial neuronavigation compared to traditional surface matching (SM). This advanced method, validated with cone-beam CT, is recommended as the new standard for patient registration in neurosurgery.

Keywords:
CBCTaccuracyautomatic image registrationneurosurgerypatient trackingreference framesurface matchingsurgical navigation

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Image-Guided Therapy

Background:

  • Neuronavigation system precision depends on accurate patient registration with 3D imaging data.
  • Traditional methods like surface matching (SM) using facial features can be challenging in specific patient positions.
  • Intraoperative imaging offers potential for improved accuracy in patient registration.

Purpose of the Study:

  • To validate automatic image registration (AIR) using intraoperative cone-beam computed tomography (CBCT) for cranial neurosurgery.
  • To compare the accuracy of AIR against traditional surface matching (SM) registration.
  • To assess the preservation of navigation accuracy throughout surgical procedures.

Main Methods:

  • Adult patients undergoing intracranial tumor surgery were enrolled.
  • Surface matching (SM) registration and automatic image registration (AIR) were performed.
  • Accuracy was calculated by comparing reference and acquired coordinates; persistence was assessed at multiple time points.

Main Results:

  • Automatic image registration (AIR) achieved a mean accuracy of 1.0 ± 0.3 mm, significantly outperforming surface matching (SM) at 6.6 ± 3.1 mm (p < 0.0001).
  • AIR demonstrated a mean accuracy improvement of 5.58 mm over SM.
  • While accuracy slightly decreased from pre-drape to post-resection with AIR, the decline was not statistically significant.

Conclusions:

  • Automatic image registration (AIR) is more accurate than surface matching (SM) for cranial neuronavigation and should be considered the new gold standard.
  • AIR is particularly beneficial for rotated or prone patient positions.
  • Prioritizing AIR is recommended when intraoperative imaging resources are limited.