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Transfer Function Design Toolbox for Full-Color Volume Datasets

• Martin Falk martin.falk (at) liu.se
  Department of Science and Technology, Linkﾃｶping University, Sweden
• Ingrid Hotz ingrid.hotz (at) liu.se
  Department of Science and Technology, Linkﾃｶping University, Sweden
• Patric Ljung patric.ljung (at) liu.se
  Department of Science and Technology, Linkﾃｶping University, Sweden
• Darren Treanor darrentreanor (at) nhs.net
  Leeds Teaching Hospitals NHS Trust, United Kingdom
• Anders Ynnerman anders.ynnerman (at) liu.se
  Department of Science and Technology, Linkﾃｶping University, Sweden
• Claes Lundstrﾃｶm claes.lundstrom (at) liu.se
  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.