The iCoCooN:Integration of Cobweb Charts with Parallel Coordinates forVisual Analysis of DCE-MRI Modeling Variations

Information

• Publication Type: Journal Paper with Conference Talk
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: 2014
• Journal: Eurographics Workshop on Visual Computing for Biology and Medicine
• Lecturer:
  • Ivan Viola
  • Katja Bühler
  • Timo Ropinski

Abstract

Efficacy of radiotherapy treatment depends on the specific characteristics of tumorous tissues. For the determi-nation of these characteristics, clinical practice uses Dynamic Contrast Enhanced (DCE) Magnetic ResonanceImaging (MRI). DCE-MRI data is acquired and modeled using pharmacokinetic modeling, to derive per voxela set of parameters, indicative of tissue properties. Different pharmacokinetic modeling approaches make differ-ent assumptions, resulting in parameters with different distributions. A priori, it is not known whether there aresignificant differences between modeling assumptions and which assumption is best to apply. Therefore, clinicalresearchers need to know at least how different choices in modeling affect the resulting pharmacokinetic parame-ters and also where parameter variations appear. In this paper, we introduce iCoCooN: a visualization applicationfor the exploration and analysis of model-induced variations in pharmacokinetic parameters. We designed a visualrepresentation, the Cocoon, by integrating perpendicularly Parallel Coordinate Plots (PCPs) with Cobweb Charts(CCs). PCPs display the variations in each parameter between modeling choices, while CCs present the relationsin a whole parameter set for each modeling choice. The Cocoon is equipped with interactive features to supportthe exploration of all data aspects in a single combined view. Additionally, interactive brushing allows to link theobservations from the Cocoon to the anatomy. We conducted evaluations with experts and also general users. Theclinical experts judged that the Cocoon in combination with its features facilitates the exploration of all significantinformation and, especially, enables them to find anatomical correspondences. The results of the evaluation withgeneral users indicate that the Cocoon produces more accurate results compared to independent multiples

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BibTeX

@article{raidou_vcbm14,
  title =      "The iCoCooN:Integration of Cobweb Charts with Parallel
               Coordinates forVisual Analysis of DCE-MRI Modeling
               Variations",
  author =     "Renata Raidou and Uulke A van der Heide and PJ van Houdt and
               Marcel Breeuwer and Anna Vilanova i Bartroli",
  year =       "2014",
  abstract =   "Efficacy of radiotherapy treatment depends on the specific
               characteristics of tumorous tissues. For the determi-nation
               of these characteristics, clinical practice uses Dynamic
               Contrast Enhanced (DCE) Magnetic ResonanceImaging (MRI).
               DCE-MRI data is acquired and modeled using pharmacokinetic
               modeling, to derive per voxela set of parameters, indicative
               of tissue properties. Different pharmacokinetic modeling
               approaches make differ-ent assumptions, resulting in
               parameters with different distributions. A priori, it is not
               known whether there aresignificant differences between
               modeling assumptions and which assumption is best to apply.
               Therefore, clinicalresearchers need to know at least how
               different choices in modeling affect the resulting
               pharmacokinetic parame-ters and also where parameter
               variations appear. In this paper, we introduce iCoCooN: a
               visualization applicationfor the exploration and analysis of
               model-induced variations in pharmacokinetic parameters. We
               designed a visualrepresentation, the Cocoon, by integrating
               perpendicularly Parallel Coordinate Plots (PCPs) with Cobweb
               Charts(CCs). PCPs display the variations in each parameter
               between modeling choices, while CCs present the relationsin
               a whole parameter set for each modeling choice. The Cocoon
               is equipped with interactive features to supportthe
               exploration of all data aspects in a single combined view.
               Additionally, interactive brushing allows to link
               theobservations from the Cocoon to the anatomy. We conducted
               evaluations with experts and also general users. Theclinical
               experts judged that the Cocoon in combination with its
               features facilitates the exploration of all
               significantinformation and, especially, enables them to find
               anatomical correspondences. The results of the evaluation
               withgeneral users indicate that the Cocoon produces more
               accurate results compared to independent multiples",
  journal =    "Eurographics Workshop on Visual Computing for Biology and
               Medicine ",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/",
}