JOURNAL ARTICLE

Opacity Peeling for Direct Volume Rendering

Christof Rezk‐SalamaAndreas Kolb

Year: 2006 Journal:   Computer Graphics Forum Vol: 25 (3)Pages: 597-606   Publisher: Wiley

Abstract

Abstract The most important technique to visualize 3D scalar data, as they arise e.g. in medicine from tomographic measurement, is direct volume rendering. A transfer function maps the scalar values to optical properties which are used to solve the integral of light transport in participating media. Many medical data sets, especially MRI data, however, are difficult to visualize due to different tissue types being represented by the same scalar value. The main problem is that interesting structures will be occluded by less important structures because they share the same range of data values. Occlusion, however, is a view‐dependent problem and cannot be solved easily by transfer function design. This paper proposes a new method to display different entities inside the volume data in a single rendering pass. The proposed opacity peeling technique reveals structures in the data set that cannot be visualized directly by one‐or multi‐dimensional transfer functions without explicit segmentation. We also demonstrate real‐time implementations using texture mapping and multiple render targets. Categories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Three‐Dimensional Graphics and Realism

Keywords:
Volume rendering Rendering (computer graphics) Computer science Opacity Computer graphics (images) Texture memory Graphics Computer graphics Isosurface Artificial intelligence Scalar (mathematics) Real-time rendering Computer vision Visualization Software rendering Mathematics 3D computer graphics Geometry Optics

Metrics

70
Cited By
12.63
FWCI (Field Weighted Citation Impact)
35
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
3D Shape Modeling and Analysis
Physical Sciences →  Engineering →  Computational Mechanics
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