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High-level algorithm prototyping: An example extending the TVR-DART algorithm
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
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2017 (English)In: Discrete Geometry for Computer Imagery: 20th IAPR International Conference, DGCI 2017, Vienna, Austria, September 19 – 21, 2017, Proceedings, Springer, 2017, 109-121 p.Chapter in book (Refereed)
Abstract [en]

Operator Discretization Library (ODL) is an open-source Python library for prototyping reconstruction methods for inverse problems, and ASTRA is a high-performance Matlab/Python toolbox for large-scale tomographic reconstruction. The paper demonstrates the feasibility of combining ODL with ASTRA to prototype complex reconstruction methods for discrete tomography. As a case in point, we consider the total-variation regularized discrete algebraic reconstruction technique (TVR-DART). TVR-DART assumes that the object to be imaged consists of a limited number of distinct materials. The ODL/ASTRA implementation of this algorithm makes use of standardized building blocks, that can be combined in a plug-and-play manner. Thus, this implementation of TVR-DART can easily be adapted to account for application specific aspects, such as various noise statistics that come with different imaging modalities.

Place, publisher, year, edition, pages
Springer, 2017. 109-121 p.
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743 ; 10502
National Category
Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-216705DOI: 10.1007/978-3-319-66272-5_10Scopus ID: 2-s2.0-85029482765ISBN: 9783319662718 OAI: oai:DiVA.org:kth-216705DiVA: diva2:1153358
Conference
19 September 2017 through 21 September 2017
Note

QC 20171030

Available from: 2017-10-30 Created: 2017-10-30 Last updated: 2017-10-30Bibliographically approved

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Ringh, AxelÖktem, Ozan
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CiteExportLink to record
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Citation style
  • apa
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  • modern-language-association-8th-edition
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  • de-DE
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  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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