Title :
Context-Preserving Rendering of Medical Segmentation Data
Author :
Hughes, D. ; Ik Soo Lim
Author_Institution :
Univ. of Wales Bangor, Bangor
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353596