Augmented reality (AR) is an emerging technology with significant potential to improve preoperative surgical planning by optimizing spatial understanding of patient-specific anatomy. This thesis presents the development and initial evaluation of an integrated system leveraging Microsoft HoloLens 2 for immersive 3D visualization and interaction with anatomical models reconstructed from thoracic computed tomography (CT) scans, specifically for planning lung biopsy procedures. The system architecture is based on an integration between the 3D Slicer medical image computing platform and a custom Unity application developed for HoloLens 2. Communication is facilitated by the OpenIGTLink protocol, enabling dynamic streaming of CT slice data and spatial transformations.