A Bayesian generative model for surface template estimation.
3D surfaces are important geometric models for many objects of interest in image analysis and Computational Anatomy. In this paper, we describe a Bayesian inference scheme for estimating a template surface from a set of observed surface data. In order to achieve this, we use the geodesic shooting ap...
| Publicado en: | International Journal of Biomedical Imaging pp. 14p - 15 |
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| Autores principales: | , , |
| Formato: | equations & formulas pictorial research Journal Article |
| Publicado: |
Wiley-Blackwell
2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104967578&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104967578 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16874188 1WZI jtl: International Journal of Biomedical Imaging issn: 16874188 maglogo: N pubinfo: dt: 2010 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104967578 2010887822 10.1155/2010/974957 NLM20885934 PMC2946602 104967578 ppf: 14p ppct: 1 formats: tig: atl: A Bayesian generative model for surface template estimation. aug: au: Ma, Jun Miller, Michael I. Younes, Laurent affil: Center for Imaging Science, Department of Biomedical Engineering, The Johns Hopkins University, 320 Clark Hall, Baltimore, MD 21218; junma@cis.jhu.edu sug: subj: Anatomy Image Processing, Computer Assisted Models, Statistical Algorithms Brain Evaluation Research Funding Source Human ab: 3D surfaces are important geometric models for many objects of interest in image analysis and Computational Anatomy. In this paper, we describe a Bayesian inference scheme for estimating a template surface from a set of observed surface data. In order to achieve this, we use the geodesic shooting approach to construct a statistical model for the generation and the observations of random surfaces. We develop a mode approximation EM algorithm to infer the maximum a posteriori estimation of initial momentum μ, which determines the template surface. Experimental results of caudate, thalamus, and hippocampus data are presented. pubtype: Academic Journal doctype: equations & formulas pictorial research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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