Researchers at the Hebrew University of Jerusalem have developed a novel framework and methods for the optimal selection and placement of anatomical and fiducial landmarks for image-guided neurosurgery. The method computes the rigid registration transformation that minimizes the Target Registration Error, and provides an accurate estimate of the target localization uncertainty. It allows surgeons to optimally plan fiducial location prior to imaging and to automatically or semi-automatically select the fiducial and anatomical landmarks that will minimize the Target Registration Error.
The proposed method takes the guesswork out of the registration process, provides a reliable localization uncertainty error for navigation, and reduces the localization error. It is expected to provide a new, principled pre-imaging method for fiducial placement, save intra-operative time, and improve the reliability and accuracy of the localization. Based on our preliminary clinical results, the expected reduction of uncertainty is of up to 4mm. The improvement in accuracy is expected to reduce complications and allow new procedures that could not be done because of the suboptimal localization uncertainty.