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APRIL 18-21, 2017
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Transfer Function Design Toolbox for Full-Color Volume Datasets

  • Martin Falk
    Department of Science and Technology, Linkテカping University, Sweden
  • Ingrid Hotz
    Department of Science and Technology, Linkテカping University, Sweden
  • Patric Ljung
    Department of Science and Technology, Linkテカping University, Sweden
  • Darren Treanor
    Leeds Teaching Hospitals NHS Trust, United Kingdom
  • Anders Ynnerman
    Department of Science and Technology, Linkテカping University, Sweden
  • Claes Lundstrテカm
    Center for Medical Image Science and Visualization (CMIV), Linkテカping University, Sweden

Abstract

In this paper, we tackle the challenge of effective Transfer Function (TF) design for Direct Volume Rendering (DVR) of full-color datasets. We propose a novel TF design toolbox based on color similarity which is used to adjust opacity as well as replacing colors. We show that both CIE L*u*v* chromaticity and the chroma component of YCbCr are equally suited as underlying color space for the TF widgets. In order to maximize the area utilized in the TF editor, we renormalize the color space based on the histogram of the dataset. Thereby, colors representing a higher share of the dataset are depicted more prominently, thus providing a higher sensitivity for fine-tuning TF widgets. The applicability of our TF design toolbox is demonstrated by volume ray casting challenging full-color volume data including the visible male cryosection dataset and examples from 3D histology.