DocumentCode
1137932
Title
Volume rendering of segmented image objects
Author
Bullitt, Elizabeth ; Aylward, Stephen R.
Author_Institution
Div. of Neurosurg., North Carolina Univ., Chapel Hill, NC, USA
Volume
21
Issue
8
fYear
2002
Firstpage
998
Lastpage
1002
Abstract
This paper describes a new method of combining ray-casting with segmentation. Volume rendering is performed at interactive rates on personal computers, and visualizations include both "superficial" ray-casting through a shell at each object\´s surface and "deep" ray-casting through the confines of each object. A feature of the approach is the option to smoothly and interactively dilate segmentation boundaries along all axes. This ability, when combined with selective "turning off" of extraneous image objects, can help clinicians detect and evaluate segmentation errors that may affect surgical planning. We describe both a method optimized for displaying tubular objects and a more general method applicable to objects of arbitrary geometry. In both cases, select three-dimensional points are projected onto a modified z buffer that records additional information about the projected objects. A subsequent step selectively volume renders only through the object volumes indicated by the z buffer. We describe how our approach differs from other reported methods for combining segmentation with ray-casting, and illustrate how our method can be useful in helping to detect segmentation errors.
Keywords
biomedical MRI; blood vessels; image segmentation; medical image processing; rendering (computer graphics); arbitrary geometry objects; computer-assisted diagnosis software; computer-assisted surgical systems; deep ray-casting; extraneous image objects; interactively dilated segmentation boundaries; modified z buffer; personal computers; projected objects; segmentation errors detection; segmented image data; select three-dimensional points; superficial ray-casting; tubular objects display; Casting; Computer displays; Data visualization; Image segmentation; Microcomputers; Optimization methods; Rendering (computer graphics); Surgery; Three dimensional displays; Uncertainty; Algorithms; Arteriovenous Malformations; Brain; Brain Neoplasms; Head; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Liver; Magnetic Resonance Angiography; Pattern Recognition, Automated; Radiography, Abdominal; Tomography, X-Ray Computed;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2002.803088
Filename
1076044
Link To Document