The Radon transform with finitely many angles
Plamen Stefanov
TL;DR
This paper investigates the properties of the Radon transform when sampled with limited angles, focusing on resolution, artifacts, and edge detection in undersampled scenarios.
Contribution
It provides new insights into the effects of finite-angle sampling on the Radon transform's resolution and artifact behavior.
Findings
Analysis of aliasing artifacts due to undersampling
Characterization of edge recovery capabilities
Impact of limited angles on resolution
Abstract
We study the Radon transform in the plane in parallel geometry possibly undersampled in the angular variables. We study resolution, aliasing artifacts, and edge recovery.
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Medical Image Segmentation Techniques · Advanced Image Fusion Techniques