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Equalized MR Grayscale Mapping
Linköping University, Department of Science and Technology. Linköping University, The Institute of Technology.
2008 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

MR images are crucial for health care today and the application areas are continuously increasing. A major problem regarding visualization of these data sets is that there is no absolute scale for the data values. Even for the same type of examination the scale varies from patient to patient, from time to time, and from scanner model to scanner model. This thesis addresses the challenge of automatically generating visualization parameters for these data sets, eqalizing visual appearance and interactions to diversities in data set distributions. Main objectives are to achieve reasonably good starting visualizations and to ensure consistent interaction behaviour.

Place, publisher, year, edition, pages
2008. , 72 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-95366ISRN: LiU-ITN-TEK-A--08/044--SEOAI: oai:DiVA.org:liu-95366DiVA: diva2:636238
Subject / course
Media Technology
Examiners
Available from: 2013-07-09 Created: 2013-07-03 Last updated: 2013-07-09Bibliographically approved

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fulltext(12415 kB)82 downloads
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf