Equalized MR Grayscale Mapping

Equalized MR Grayscale Mapping

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 t...

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Main Author: Hagvall, Anders
Format: Others
Language:English
Published: Linköpings universitet, Institutionen för teknik och naturvetenskap 2008
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95366
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spelling ndltd-UPSALLA1-oai-DiVA.org-liu-953662013-07-10T04:11:42ZEqualized MR Grayscale MappingengHagvall, AndersLinköpings universitet, Institutionen för teknik och naturvetenskapLinköpings universitet, Tekniska högskolan2008MR 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. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95366application/pdfinfo:eu-repo/semantics/openAccess
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language English
format Others
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description 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.
author Hagvall, Anders
spellingShingle Hagvall, Anders
Equalized MR Grayscale Mapping
author_facet Hagvall, Anders
author_sort Hagvall, Anders
title Equalized MR Grayscale Mapping
title_short Equalized MR Grayscale Mapping
title_full Equalized MR Grayscale Mapping
title_fullStr Equalized MR Grayscale Mapping
title_full_unstemmed Equalized MR Grayscale Mapping
title_sort equalized mr grayscale mapping
publisher Linköpings universitet, Institutionen för teknik och naturvetenskap
publishDate 2008
url http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95366
work_keys_str_mv AT hagvallanders equalizedmrgrayscalemapping
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