Alternative parametric boundary reconstruction method for biomedical imaging.
Determining the outline or boundary contour of a two-dimensional object, or the surface of a three-dimensional object poses difficulties particularly when there is substantial measurement noise or uncertainty. By adapting the mathematical approach of stochastic function recovery to this task, it is...
| Publicado en: | Journal of Biomedicine & Biotechnology pp. 7p - 8 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2008 Regular issue
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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=105557260&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105557260 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11107243 137K jtl: Journal of Biomedicine & Biotechnology issn: 11107243 maglogo: N pubinfo: dt: 2008 Regular issue pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105557260 105557260 2010050617 10.1155/2008/623475 NLM18464920 105557260 ppf: 7p ppct: 1 formats: fmt: @attributes: type: P tig: atl: Alternative parametric boundary reconstruction method for biomedical imaging. aug: au: Kolibal J Howard D affil: Department of Mathematics, College of Science and Technology, The University of Southern Mississippi, Hattiesburg, MS 39406-0001, USA; joseph.kolibal@usm.edu sug: subj: Algorithms Artificial Intelligence Diagnostic Imaging Methods Image Enhancement Methods Image Interpretation, Computer Assisted Methods Reproducibility of Results Sensitivity and Specificity Human ab: Determining the outline or boundary contour of a two-dimensional object, or the surface of a three-dimensional object poses difficulties particularly when there is substantial measurement noise or uncertainty. By adapting the mathematical approach of stochastic function recovery to this task, it is possible to obtain usable estimates for these boundaries, even in the presence of large amounts of noise. The technique is applied to parametric boundary data and has potential applications in biomedical imaging. It should be considered as one of several techniques to improve the visualization of images. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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