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Various scanning methods and image reconstruction algorithms are actively investigated for low‐dose computed tomography (CT) that can potentially reduce a health‐risk related to radiation dose. Particularly, compressive‐sensing (CS) based algorithms have been successfully developed for reconstructing images from sparsely sampled data. Although these algorithms have shown promises in low‐dose CT, it has not been studied how sparse sampling schemes affect image quality in CS‐based image reconstruction. In this work, the authors present several sparse‐sampling schemes for low‐dose CT, quantitatively analyze their data property, and compare effects of the sampling schemes on the image quality.

Data properties of several sampling schemes are analyzed with respect to the CS‐based image reconstruction using two measures: sampling density and data incoherence. The authors …