Patient registration using intraoperative stereovision for open cranial surgery

Xiaoyao Fan; Alex Hartov; David W. Roberts; Keith D. Paulsen

doi:10.1117/12.2611488

4 April 2022 Patient registration using intraoperative stereovision for open cranial surgery

Xiaoyao Fan, Alex Hartov, David W. Roberts, Keith D. Paulsen

Proceedings Volume 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling; 1203406 (2022) https://doi.org/10.1117/12.2611488
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

Patient registration enables image guidance by establishing a transformation between patient (physical) space and image space. In this study, we present an automatic patient registration method using intraoperative stereovision (iSV). First, an iSV system attached to a surgical microscope was used to acquired multiple iSV image pairs of the patient's head/face from various angles after the patient is positioned on the operating table but before incision, and the reconstructed iSV surfaces were concatenated to form a composite field-of-view. Second, the composite iSV surface was registered to the surface profile extracted from pre-operative MR (pMR) images as an initial approximation of patient registration. Third, another iSV image pair of the cortical surface was acquired after dural opening, and the reconstructed iSV cortical surface was re-registered to pMR to refine patient registration using automatically segmented surface features such as blood vessels. We evaluated retrospectively the performance of iSV-based patient registration in 6 patient cases in terms of accuracy and computational efficiency. The computational efficiency was ~10 min for the initial registration using skin iSV data and <10 sec for the re-registration using cortical surface. Target registration errors (TRE) were assessed using landmarks (e.g., blood vessels) on the cortical surface that were identifiable in both iSV and pMR, and the average TRE across 6 cases was 1.91±0.61 mm. These results suggest potential OR applications using intraoperative stereovision for automatic patient registration in image-guided open cranial surgery.

Conference Presentation

Citation Download Citation

Xiaoyao Fan, Alex Hartov, David W. Roberts, and Keith D. Paulsen "Patient registration using intraoperative stereovision for open cranial surgery", Proc. SPIE 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, 1203406 (4 April 2022); https://doi.org/10.1117/12.2611488

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