A Fast Region-Based Active Contour Model for Boundary Detection of Echocardiographic Images.
This paper presents the boundary detection of atrium and ventricle in echocardiographic images. In case of mitral regurgitation, atrium and ventricle may get dilated. To examine this, doctors draw the boundary manually. Here the aim of this paper is to evolve the automatic boundary detection for car...
| Publicado en: | Journal of Digital Imaging Vol. 25; no. 2; pp. 271 - 279 |
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| Autores principales: | , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2012
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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=104528094&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104528094 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Apr2012 vid: 25 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104528094 72456154 10.1007/s10278-011-9408-8 NLM21779946 PMC3295971 104528094 ppf: 271 ppct: 8 formats: fmt: @attributes: type: P tig: atl: A Fast Region-Based Active Contour Model for Boundary Detection of Echocardiographic Images. aug: au: Saini, Kalpana Dewal, M. Rohit, Manojkumar affil: Department of Electrical Engg, IIT Roorkee, Roorkee India sug: subj: Echocardiography Heart Atrium Radiography Heart Ventricle Radiography Mitral Valve Insufficiency Diagnosis Radiographic Image Interpretation, Computer-Assisted Automation Algorithms Human Evaluation Research ab: This paper presents the boundary detection of atrium and ventricle in echocardiographic images. In case of mitral regurgitation, atrium and ventricle may get dilated. To examine this, doctors draw the boundary manually. Here the aim of this paper is to evolve the automatic boundary detection for carrying out segmentation of echocardiography images. Active contour method is selected for this purpose. There is an enhancement of Chan-Vese paper on active contours without edges. Our algorithm is based on Chan-Vese paper active contours without edges, but it is much faster than Chan-Vese model. Here we have developed a method by which it is possible to detect much faster the echocardiographic boundaries. The method is based on the region information of an image. The region-based force provides a global segmentation with variational flow robust to noise. Implementation is based on level set theory so it easy to deal with topological changes. In this paper, Newton-Raphson method is used which makes possible the fast boundary detection. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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