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An external field prior for the hidden Potts model with application to cone-beam computed tomography
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Moores, Matthew T., Hargrave, Catriona E., Deegan, Timothy, Poulsen, Michael, Harden, Fiona and Mengersen, Kerrie (2015) An external field prior for the hidden Potts model with application to cone-beam computed tomography. Computational Statistics & Data Analysis, 86 . pp. 27-41. doi:10.1016/j.csda.2014.12.001 ISSN 0167-9473.
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Official URL: http://dx.doi.org/10.1016/j.csda.2014.12.001
Abstract
In images with low contrast-to-noise ratio (CNR), the information gain from the observed pixel values can be insufficient to distinguish foreground objects. A Bayesian approach to this problem is to incorporate prior information about the objects into a statistical model. A method for representing spatial prior information as an external field in a hidden Potts model is introduced. This prior distribution over the latent pixel labels is a mixture of Gaussian fields, centred on the positions of the objects at a previous point in time. It is particularly applicable in longitudinal imaging studies, where the manual segmentation of one image can be used as a prior for automatic segmentation of subsequent images. The method is demonstrated by application to cone-beam computed tomography (CT), an imaging modality that exhibits distortions in pixel values due to X-ray scatter. The external field prior results in a substantial improvement in segmentation accuracy, reducing the mean pixel misclassification rate for an electron density phantom from 87% to 6%. The method is also applied to radiotherapy patient data, demonstrating how to derive the external field prior in a clinical context.
Item Type: | Journal Article | ||||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||||
Journal or Publication Title: | Computational Statistics & Data Analysis | ||||||||
Publisher: | Elsevier Science Ltd | ||||||||
ISSN: | 0167-9473 | ||||||||
Official Date: | June 2015 | ||||||||
Dates: |
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Volume: | 86 | ||||||||
Page Range: | pp. 27-41 | ||||||||
DOI: | 10.1016/j.csda.2014.12.001 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access |
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