Sinogram-based Geometry Processing for CT Scanning

X-ray Computed Tomography (CT) is a powerful scanning tool for capturing the
three dimensional (3D) geometry of real-world objects. In conventional
geometry processing for CT scanned objects, only CT values sampled on a 3D
regular grid (i.e., a CT volume) are used. However, this CT volume-based
geometry processing is sensitive to grid artifacts. To solve this problem,
we propose sinogram-based geometry processing, wherein a sinogram is a
sequence of X-ray projection images. The proposed method provides high
quality mesh generation, sharp feature extraction, and curvature estimation.