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Erschienen in:
2017 | OriginalPaper | Buchkapitel
User-Friendly Simultaneous Tomographic Reconstruction and Segmentation with Class Priors
verfasst von : Hans Martin Kjer, Yiqiu Dong, Per Christian Hansen
Erschienen in: Scale Space and Variational Methods in Computer Vision
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Abstract
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.