Bayesian analysis of vascular structure
Thönnes, Elke, Bhalerao, Abhir, Kendall, Wilfrid S. and Wilson, Roland (2003) Bayesian analysis of vascular structure. In: Stochastic Geometry, Biological Structure and Images , University of Leeds, 8-10 Jul 2003. Published in: Stochastic Geometry, Biological Structure and Images pp. 115-118.Full text not available from this repository.
The detection of artery and vein structure is of interest in both medical diagnosis and surgical planning. Here we examine vascular structure in the eye which is important for example to diagnose abnormal vessel growth due to diabetic retinopathy. The results presented here focus on retinal blood vessels; however all methods can be applied to general artery/vein structure.
For example, in future we plan to investigate the three dimensional vascular structure in a human brain.
As the images of interest are large, we ﬁrst use a multi-resolution approach to summarise the image. All inference is then based on the image summarisation rather than the original image. We develop a prior model for vascular structure and use Markov Chain Monte Carlo (MCMC) to sample from the posterior distribution describing the global artery/vein structure in the image.
|Item Type:||Conference Item (Paper)|
|Subjects:||Q Science > QA Mathematics
Q Science > QM Human anatomy
|Divisions:||Faculty of Science > Computer Science
Faculty of Science > Statistics
|Library of Congress Subject Headings (LCSH):||Bayesian statistical decision theory, Cardiovascular system, Markov processes, Monte Carlo method|
|Journal or Publication Title:||Stochastic Geometry, Biological Structure and Images|
|Publisher:||University of Leeds|
|Page Range:||pp. 115-118|
|Conference Paper Type:||Paper|
|Title of Event:||Stochastic Geometry, Biological Structure and Images|
|Type of Event:||Other|
|Location of Event:||University of Leeds|
|Date(s) of Event:||8-10 Jul 2003|
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