Automatic image registration provides superior accuracy compared to surface matching in cranial navigation

Abstract

Objective The precision of neuronavigation systems relies on the correct registration of the patient’s position in space and aligning it with radiological 3D imaging data. Registration is usually performed by acquisition of anatomical landmarks or surface matching based on facial features. Another possibility is automatic image registration using intraoperative imaging. This could provide better accuracy especially in rotated or prone positions where the other methods may be difficult to perform. The aim of this study was to validate automatic image registration (AIR) using intraoperative cone beam computed tomography (CBCT) for cranial neurosurgical procedures and compare the registration accuracy to the traditional Surface Matching (SM) registration method, based on preoperative MRI. The preservation of navigation accuracy throughout the surgery was also investigated. Methods Adult patients undergoing intracranial tumor surgery were enrolled after consent. A standard SM registration was performed, and reference points were acquired. An AIR was then performed, and the same reference points were acquired again. Accuracy was calculated based on referenced and acquired coordinates of the points for each registration method. The reference points were acquired before and after draping and at the end of procedure to assess persistency of accuracy. Results In total, 22 patients were included. The mean accuracy was 6.6 ± 3.1 mm for SM registration and 1.0 ± 0.3 mm for AIR. The AIR was superior to the SM registration (p<0.0001), with a mean improvement in accuracy of 5.58 mm (3.71-7.44 mm 99% CI). The mean accuracy for the AIR registration pre-drape was 1.0 ± 0.3 mm. The corresponding accuracies post-drape and post-resection were 2.9± 4.6 mm and 4.1± 4.9 mm respectively. Although a loss of accuracy was identified between the preoperative and end of procedure measurements, there was no statistically significant decline during surgery. Conclusions AIR for cranial neuronavigation consistently delivered greater accuracy than SM and should be considered the new gold standard for patient registration in cranial neuronavigation. If intraoperative imaging is a limited resource, AIR should be prioritized in rotated or prone positions procedures, where the benefits are the greatest.