User-Friendly Simultaneous Tomographic Reconstruction and Segmentation with Class Priors
Simultaneous Reconstruction and Segmentation (SRS) strategies for computed tomography (CT) present a way to combine the two tasks, which in many applications traditionally are performed as two successive and separate steps. A combined model has a potentially positive effect by allowing the two tasks to influence one another, at the expense of a more complicated algorithm. The combined model increases in complexity due to additional parameters and settings requiring tuning, thus complicating the practical usability. This paper takes it outset in a recently published variational algorithm for SRS. We propose a simplification that reduces the number of required parameters, and we perform numerical experiments investigating the effect and the conditions under which this approach is feasible.
KeywordsAttenuation Coefficient Filter Back Projection Baseline Method Reconstruction Model Reconstruction Problem
This work is supported by Advanced grant no. 291405 “High-Definition Tomography” from the European Research Council.
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