Visualization of boundaries in volumetric data sets through a what material you pick is what boundary you see approach

Computer Methods and Programs in Biomedicine
Lu LiDayong Gao

Abstract

Transfer function design is a key issue in direct volume rendering. Many sophisticated transfer functions have been proposed to visualize boundaries in volumetric data sets such as computed tomography and magnetic resonance imaging. However, it is still conventionally challenging to reliably detect boundaries. Meanwhile, the interactive strategy is complicated for new users or even experts. In this paper, we first propose the human-centric boundary extraction criteria and our boundary model. Based on the model we present a boundary visualization method through a what material you pick is what boundary you see approach. Users can pick out the material of interest to directly convey semantics. In addition, the 3-D canny edge detection is utilized to ensure the good localization of boundaries. Furthermore, we establish a point-to-material distance measure to guarantee the accuracy and integrity of boundaries. The proposed boundary visualization is intuitive and flexible for the exploration of volumetric data.

References

Mar 3, 2006·IEEE Transactions on Visualization and Computer Graphics·Petr SeredaFrans A Gerritsen
Nov 4, 2006·IEEE Transactions on Visualization and Computer Graphics·Christof Rezk SalamaPeter Kohlmann
Jul 12, 2007·IEEE Transactions on Visualization and Computer Graphics·Yingcai Wu, Huamin Qu
Oct 31, 2007·IEEE Transactions on Visualization and Computer Graphics·Peter RautekEduard Gröller
Dec 21, 2007·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Iwo W O SerlieLucas J van Vliet
Feb 5, 2008·Computer Methods and Programs in Biomedicine·Kai XieY M Zhu
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Jun 22, 2013·IEEE Transactions on Pattern Analysis and Machine Intelligence·Clément FarabetYann Lecun
Jan 21, 2014·Computer Methods and Programs in Biomedicine·Megumi NakaoKotaro Minato

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