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Extracting Surfaces from Fuzzy 3D-Ultrasound Data

 
: Sakas, G.; Walter, S.

:

Siggraph '95. International Conference on Computer Graphics and Interactive Techniques. Proceedings
1995
pp.465-474
Computer Graphics and Interactive Techniques <22, 1995, Los Angeles>
English
Conference Paper
Fraunhofer IGD ()
3D Ultrasound; computer graphics; edge detection; filtering; image generation; morphology; Multiresolution Analysis; Pixel Classification; segmetation; volume rendering

Abstract
Rendering 3D models from 3D-ultrasonic data is a complicated task due to the noisy, fuzzy nature of ultrasound imaging containing a lot of artefacts. In the method presented in this paper we first apply several filtering techniques (low-pass, mathematical morphology, multi-resolution analysis) to separate the areas containing mostly noise from those of useful information. Such a filtering can be applied at interactive times on-the-fly under user control & feed-back. Goal of this processing is to create a 'region-of-interest' (ROI) mask, whereas the data itself remains unaltered. Second, we examine several alternatives to the original Levoy contouring method. Atlast we introduce an improved surface-extraction volume rendering procedure applied on the original data within the ROI areas for visualizing highquality images within a few seconds on a normal workstation, or even on a PC, thus making the complete system suitable for routine clinical applications.

: http://publica.fraunhofer.de/documents/PX-13660.html