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Reconstruction in Computerized Tomography using Entropy Regularization
KTH, School of Engineering Sciences (SCI).
KTH, School of Engineering Sciences (SCI).
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Inverse problems are a class of problems that often appear in science. They canbe thought of as calculating the cause that corresponds to measured data, andit is the opposite (i.e. inverse) of a direct problem, where data is calculated froma known source. In Computerized Tomography (CT), which is an importantnon-invasive imaging method in medicine, inverse problems arise when wewant to reconstruct the inner structure of the physical body from indirectmeasurements. In this thesis we investigate dierent methods for CT imagereconstruction. We compare the reconstruction quality of using Entropy asa regularizer to Tikhonov- and Total Variation (TV) regularization and theanalytic Filtered Backprojection approach, and also investigate the sensitivityof entropy regularization with respect to priors.

Place, publisher, year, edition, pages
2017. , 21 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-210870OAI: oai:DiVA.org:kth-210870DiVA: diva2:1120599
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Examiners
Available from: 2017-07-06 Created: 2017-07-06 Last updated: 2017-07-06Bibliographically approved

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fulltext(4830 kB)9 downloads
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File name FULLTEXT01.pdfFile size 4830 kBChecksum SHA-512
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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