More accurate neuronavigation data provided by biomechanical modeling instead of rigid registration

Autor: Revanth Reddy, Garlapati, Aditi, Roy, Grand Roman, Joldes, Adam, Wittek, Ahmed, Mostayed, Barry, Doyle, Simon Keith, Warfield, Ron, Kikinis, Neville, Knuckey, Stuart, Bunt, Karol, Miller
Rok vydání: 2014
Předmět:
Zdroj: Journal of neurosurgery. 120(6)
ISSN: 1933-0693
Popis: It is possible to improve neuronavigation during image-guided surgery by warping the high-quality preoperative brain images so that they correspond with the current intraoperative configuration of the brain. In this work, the accuracy of registration results obtained using comprehensive biomechanical models is compared to the accuracy of rigid registration, the technology currently available to patients. This comparison allows us to investigate whether biomechanical modeling provides good quality image data for neuronavigation for a larger proportion of patients than rigid registration. Preoperative images for 33 cases of neurosurgery were warped onto their respective intraoperative configurations using both biomechanics-based method and rigid registration. We used a Hausdorff distance-based evaluation process that measures the difference between images to quantify the performance of both methods of registration. A statistical test for difference in proportions was conducted to evaluate the null hypothesis that the proportion of patients for whom improved neuronavigation can be achieved, is the same for rigid and biomechanics-based registration. The null hypothesis was confidently rejected (p-value
Databáze: OpenAIRE