2026-09-23T16:28:10Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/132714 2026-03-24 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

application/pdf en text Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01 The student, Zekai Zhang, accepted the attached license on 2025-12-12 at 11:21. The student, Zekai Zhang, submitted this Thesis for approval on 2025-12-12 at 11:24. This Thesis was approved for publication on 2025-12-12 at 14:01. DSpace SAF Submission Ingestion Package generated from Vireo submission #23148 on 2026-02-19 at 18:46:59 Apple vision pro for intraoperative 3D tumor visualization and surgical guidance Zhang, Zekai 2025-12-12 Gruev, Viktor Apple Vision Pro, Tumor Imaging eng This thesis investigates the feasibility of using the Apple Vision Pro (AVP) mixed-reality headset for visualizing and localizing brain tumors during neurosurgical procedures. A complete workflow was developed to overlay a CT-derived 3D tumor model onto a patient-specific head surface mesh obtained using LiDAR scanning and machine-learning–based object tracking. A 3D-printed head phantom with an embedded tumor target enabled quantitative evaluation of reconstruction fidelity and spatial anchoring accuracy. Results show that AVP can generate a consistent surface mesh of the head and maintain stable alignment of the tumor overlay under typical motion, with deviations increasing primarily in high-curvature anatomical regions or during sudden movements. Although not yet a replacement for conventional stereotactic navigation, the system demonstrates clinically promising accuracy for superficial tumor visualization and preoperative planning. These findings highlight the potential of mixed reality as an intuitive, hands-free tool for neurosurgical guidance and outline key areas for future improvement, including automated registration and enhanced tracking robustness. 2025-12 Thesis https://hdl.handle.net/2142/132714 Copyright 2025 Zekai Zhang Electrical & Computer Eng Electrical & Computer Engr University of Illinois Urbana-Champaign M.S. Thesis