User-friendly simultaneous tomographic reconstruction and segmentation with class priors

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2017

DOI

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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.
Original languageEnglish
Title of host publicationProceedings of 6th International Conference on Scale Space and Variational Methods in Computer Vision
Volume10302
PublisherSpringer
Publication date2017
Pages260-270
ISBN (print)9783319587707
DOIs
StatePublished - 2017
EventSixth International Conference on Scale Space and Variational Methods in Computer Vision - Kolding, Denmark

Conference

ConferenceSixth International Conference on Scale Space and Variational Methods in Computer Vision
LocationHotel Koldingfjord
CountryDenmark
CityKolding
Period04/06/201708/06/2017
SeriesLecture Notes in Computer Science
Volume10302
ISSN0302-9743
CitationsWeb of Science® Times Cited: No match on DOI
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