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The authors present a robust algorithm that removes the blurring and double‐edge artifacts in high‐resolution computed tomography (CT) images that are caused by misaligned scanner components. This alleviates the time‐consuming process of physically aligning hardware, which is of particular benefit if components are moved or swapped frequently.

The proposed method uses the experimental data itself for calibration. A parameterized model of the scanner geometry is constructed and the parameters are varied until the sharpest 3D reconstruction is found. The concept is similar to passive auto‐focus algorithms of digital optical instruments. The parameters are used to remap the projection data from thephysical detector to a virtual aligned detector. This is followed by a standard reconstruction algorithm, namely the Feldkamp algorithm. Feldkamp et al. [J. Opt. Soc. Am. A 1, 612–619 (1984 …