Computer Tomography simulation using radon transform.
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Updated
Mar 30, 2020 - Python
Computer Tomography simulation using radon transform.
A simulation analyzing CT image degradation caused by limited-angle acquisition. It compares reconstruction methods to pinpoint the exact threshold where incomplete data destroys image integrity.
An interactive web application that simulates the complete CT (Computed Tomography) scanning process, from sinogram generation to image reconstruction using backprojection algorithms.
Sinogram-native deep learning for intracranial hemorrhage detection in CT projection data — reference code, experiments, and results.
Direct surface detection from raw CT sinogram (projection) data for Herculaneum papyrus scrolls, bypassing the traditional reconstruct-then-segment pipeline. Explores whether discriminative signal lost during filtered back-projection can improve detection of tightly compressed, low-contrast papyrus layers. Built for the Vesuvius Challenge.
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