April 5, 2024, 4:45 a.m. | Emmanouil Nikolakakis, Utkarsh Gupta, Jonathan Vengosh, Justin Bui, Razvan Marinescu

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.03126v1 Announce Type: cross
Abstract: We present GaSpCT, a novel view synthesis and 3D scene representation method used to generate novel projection views for Computer Tomography (CT) scans. We adapt the Gaussian Splatting framework to enable novel view synthesis in CT based on limited sets of 2D image projections and without the need for Structure from Motion (SfM) methodologies. Therefore, we reduce the total scanning duration and the amount of radiation dose the patient receives during the scan. We adapted …

2d image abstract adapt arxiv computer cs.cv eess.iv framework generate image novel projection representation scans synthesis type view

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