Illustration-Inspired Depth Enhanced Volumetric Medical Visualization

Volume illustration can be used to provide insight into source data from CT/MRI scanners in much the same way as medical illustration depicts the important details of anatomical structures. As such, proven techniques used in medical illustration should be transferable to volume illustration, providi...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics 2009-01, Vol.15 (1), p.77-86
Main Authors: Svakhine, N.A., Ebert, D.S., Andrews, W.M.
Format: Article
Language:English
Subjects:
Algorithms
Anatomical structure
and texture
Biomedical imaging
Color
Computer Graphics
Cues
Data visualization
Eyes
Focusing
Graphics processors
Illustrations
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Interaction techniques
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Manuals
Medical
Medicine
Pipelines
Rendering
shading
shadowing
Subtraction Technique
Surgery
Tomography, X-Ray Computed - methods
Transfer functions
Visual
Visualization
Visualization systems and software
Visualization techniques and methodologies
Volume visualization
Volumetric
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Summary:Volume illustration can be used to provide insight into source data from CT/MRI scanners in much the same way as medical illustration depicts the important details of anatomical structures. As such, proven techniques used in medical illustration should be transferable to volume illustration, providing scientists with new tools to visualize their data. In recent years, a number of techniques have been developed to enhance the rendering pipeline and create illustrative effects similar to the ones found in medical textbooks and surgery manuals. Such effects usually highlight important features of the subject while subjugating its context and providing depth cues for correct perception. Inspired by traditional visual and line-drawing techniques found in medical illustration, we have developed a collection of fast algorithms for more effective emphasis/de-emphasis of data as well as conveyance of spatial relationships. Our techniques utilize effective outlining techniques and selective depth enhancement to provide perceptual cues of object importance as well as spatial relationships in volumetric datasets. Moreover, we have used illustration principles to effectively combine and adapt basic techniques so that they work together to provide consistent visual information and a uniform style.
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2008.56