Wiacek, AlycenHassan, YasmeenMirza, KhalidLi, Jia2026-06-122026-06-122025-01-01https://hdl.handle.net/10323/22104Augmented Reality (AR) technologies have been demonstrated to enhance image-guided medical procedures by improving real-time visualization and spatial understanding. Ultrasound, in particular, is often integrated with AR due to its real-time functionality and portability. However, most ultrasound-based AR systems are limited to traditional B-mode ultrasound alone, visualizing the tissue morphology, but lacking mechanical or microsctructural properties of tissue. Newer modalities such as elastography and Quantitative Ultrasound (QUS) can provide these additional properties to improve diagnosis. This thesis presents an AR platform that integrates multimodal ultrasound imaging, including elastography and QUS, into a spatially registered system for biopsy guidance. The system combines a Clarius handheld ultrasound probe with a Microsoft HoloLens 2 using Unity, OpenCV, and marker-based tracking. A Qt and MATLAB-based data pipeline supports streaming and spatial alignment of multiple imaging modes. System evaluation on tissue-mimicking phantoms showed registration errors of 2.8mm for B-mode at shallow depths, 10.8mm for B-mode in deeper tissues, and 17.0mm for elastography. Latency ranged from 159ms using B-mode to 167s for QUS imaging. These results demonstrate the feasibility of the proposed AR platform for ultrasound-guided interventions driven by both morphology and diagnostic information, while highlighting areas for future improvement in latency and registration accuracy and provides a foundation for future innovations in AR-based multimodal breast biopsies.augmented realitybreast biopsymultimodal ultrasoundquantitative ultrasound