Book chapter · Conference paper
User-friendly simultaneous tomographic reconstruction and segmentation with class priors
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark3
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.
Language: | English |
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Publisher: | Springer |
Year: | 2017 |
Pages: | 260-270 |
Proceedings: | 6<sup>th</sup> International Conference on Scale Space and Variational Methods in Computer Vision |
Series: | Lecture Notes in Computer Science |
Journal subtitle: | 6th International Conference, Ssvm 2017, Kolding, Denmark, June 4-8, 2017, Proceedings |
ISBN: | 3319587706 , 3319587714 , 9783319587707 and 9783319587714 |
ISSN: | 03029743 |
Types: | Book chapter and Conference paper |
DOI: | 10.1007/978-3-319-58771-4_21 |
ORCIDs: | 0000-0003-2503-6475 , Kjer, Hans Martin , Dong, Yiqiu and Hansen, Per Christian |