Context-Preserving Rendering of Medical Segmentation Data

Author

Hughes, D. ; Ik Soo Lim

Author_Institution

Univ. of Wales Bangor, Bangor

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

5521

Lastpage

5524

Abstract

We present a context-preserving visualisation method for segmented volumetric medical images. A segmented volumetric image contains a number of anatomical objects which are important features to be visualised. Our context- preserving rendering utilises the curvature at the surfaces of the segmentation objects to modulate the opacity contribution during rendering. This results in the areas of high curvature, typically the most important features, being opaque and visible while everything else being transparent.

Keywords

image segmentation; medical image processing; rendering (computer graphics); anatomical objects; context-preserving rendering; context-preserving visualisation; medical image segmentation; opacity contribution; volumetric medical images; Biomedical imaging; Biomedical optical imaging; Graphics; Hardware; Image segmentation; Medical diagnostic imaging; Pathology; Rendering (computer graphics); Transfer functions; Visualization; Algorithms; Artificial Intelligence; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Models, Anatomic; Models, Biological; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353596

Filename

4353596