Level set extraction and volume rendering of anatomical brain tissue from medical volumetric images
Pages 227 - 230
Abstract
This paper proposes an approach integrating level set method with ray casting for image segmentation and visualization. A prior probability derived from Kullback--Leibler information number to estimate the targets (e.g., tumor and tissue) is firstly incorporated into Bayesian level set method. The Bayesian level set method is then used to continuously segment the targets from a series of brain images. To facilitate 3D volume visualization of medical-image dataset, ray casting and marching cubes algorithm are conducted to render the targets and construct the surface of the targets. Experiment results are finally reported in terms of segmenting, rendering, and surface reconstructing of the tumor, tissue, and whole brain.
References
[1]
Corso, J. J., Sharon, E., Dube, S., El-Saden, S., Sinha, U., and Yuille, A. 2008. Efficient multilevel brain tumor segmentation with integrated Bayesian model classification. IEEE Trans. on Medical Imaging. 27, 5 (May 2008), 629--640.
[2]
Wang, T., Cheng, I., and Basu, A. 2009. Fluid Vector Flow and Applications in Brain Tumor Segmentation, IEEE Trans. on Biomed. Eng. 56, 3 (Mar. 2009), 781--789.
[3]
Belaid, A., Boukerroui, D., Maingourd, Y., and Lerallut, J.-F. (2011) Phase-Based Level Set Segmentation of Ultrasound Images. IEEE Trans. on Inf. Technology in Biomed. 15, 1 (Jan. 2011), 138--147.
[4]
Lundstrom, C., Ljung, P., Persson, A., and Ynnerman, A. 2007. Uncertainty visualization in medical volume Rendering using probabilistic animation. IEEE Trans. on Visualization and Computer Graphics. 13, 6 (Nov./Dec. 2007), 1648--1655.
[5]
Lorensen, W. E. and Cline, H. E. 1987. Marching cubes: a high resolution 3D surface construction algorithm. Computer Graphics. 21 (4). (July 1987), 63--169.
[6]
Bow, S.-T. 2002. Pattern Recognition Image Preprocessing. Marcel Dekker Inc., New York.
[7]
Li, T. F. Li. 1996. An efficient algorithm to find the MLE of prior probabilities of a mixture in pattern recognition. Pattern Recognition. 29 (Feb. 1996), 337--339.
[8]
Armstrong, P., Wastie, M. L., and Rockall, A. G. Rockall. 2004. Diagnostic Imaging, 6th Ed. Wiley-Blackwell, London UK.
[9]
Ning, P. and Bloomenthal, J. 1993. An evaluation of implicit surface tilers. IEEE Computer Graphics & Applications. 13 (Nov. 1993), 33--41.
Index Terms
- Level set extraction and volume rendering of anatomical brain tissue from medical volumetric images
Recommendations
Shear-image order ray casting volume rendering
I3D '03: Proceedings of the 2003 symposium on Interactive 3D graphicsThis paper describes shear-image order ray casting, a new method for volume rendering. This method renders sampled data in three dimensions with image quality equivalent to the best of ray-per-pixel volume rendering algorithms (full image order), while ...
Adaptive Illumination Sampling for Direct Volume Rendering
Advances in Computer GraphicsAbstractDirect volume rendering is used to visualize data from sources such as tomographic imaging devices. The perception of certain structures depends very much on visual cues such as lighting and shadowing. According illumination techniques have been ...
20 years of volume rendering
SCCG '06: Proceedings of the 22nd Spring Conference on Computer GraphicsIn the year 2007 we celebrate the 20-th anniversary of coining the notion of volume rendering, followed by its first "official" usage in the papers by Levoy and by Drebin, Carpenter and Hanrahan in 1988. The new and revolutionary introduced by these ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
August 2013
419 pages
ISBN:9781450322522
DOI:10.1145/2499788
- Conference Chair:
- Tat-Seng Chua,
- General Chairs:
- Ke Lu,
- Tao Mei,
- Xindong Wu
Copyright © 2013 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
- NSF of China: National Natural Science Foundation of China
- University of Sciences & Technology, Hefei: University of Sciences & Technology, Hefei
- Beijing ACM SIGMM Chapter
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 August 2013
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
Conference
ICIMCS '13
Sponsor:
- NSF of China
- University of Sciences & Technology, Hefei
ICIMCS '13: International Conference on Internet Multimedia Computing and Service
August 17 - 19, 2013
Huangshan, China
Acceptance Rates
ICIMCS '13 Paper Acceptance Rate 20 of 94 submissions, 21%;
Overall Acceptance Rate 163 of 456 submissions, 36%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 96Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)0
Reflects downloads up to 09 Nov 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in