From Event: SPIE Medical Imaging, 2023
This study aims to refine an automated workflow for neuroimages that generates three-dimensional (3D) point clouds in the Polygon File Format (.ply) to be deployed into augmented reality (AR) head mount displays (HMD). Our current work involves enhancing and refining core features, along with improving the point-cloud application to optimize the brain MRI intake. Our brain image segmentation algorithm and web-based point cloud generator show promise for clinical workflows, where high-quality point-cloud AR models can be generated from patient MRIs.
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Jerry Y. Cai, Min-Keun (Kevin) Song, Gabriel Soliman, Raveen Kariyawasam, Pranav Kodali, Albert Chen, Albi Domi, Laura Cai, Josiah Somani, and Chamith Rajapakse, "A fully digitally integrated workflow for brain MRI Point Cloud generation and augmented reality 3D model visualization," Proc. SPIE 12469, Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and Applications, 124690I (Presented at SPIE Medical Imaging: February 21, 2023; Published: 10 April 2023); https://doi.org/10.1117/12.2654414.6323169986112.