Nonrigid image registration in digital subtraction angiography using multilevel B-spline.
We address the problem of motion artifact reduction in digital subtraction angiography (DSA) using image registration techniques. Most of registration algorithms proposed for application in DSA, have been designed for peripheral and cerebral angiography images in which we mainly deal with global rig...
| Publicado en: | BioMed Research International Vol. 2013; pp. 236315 - 236316 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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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=104089576&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104089576 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2013 vid: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104089576 104089576 2012235124 NLM23971026 PMC3736499 104089576 ppf: 236315 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Nonrigid image registration in digital subtraction angiography using multilevel B-spline. aug: au: Nejati, Mansour Sadri, Saeid Amirfattahi, Rassoul affil: Digital Signal Processing Research Laboratory, Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran. sug: subj: Algorithms Angiography, Digital Subtraction Methods Coronary Angiography Methods Computing Methodologies Information Science Methods Radiographic Image Interpretation, Computer-Assisted Methods Subtraction Technique Computer Systems Reproducibility of Results Sensitivity and Specificity ab: We address the problem of motion artifact reduction in digital subtraction angiography (DSA) using image registration techniques. Most of registration algorithms proposed for application in DSA, have been designed for peripheral and cerebral angiography images in which we mainly deal with global rigid motions. These algorithms did not yield good results when applied to coronary angiography images because of complex nonrigid motions that exist in this type of angiography images. Multiresolution and iterative algorithms are proposed to cope with this problem, but these algorithms are associated with high computational cost which makes them not acceptable for real-time clinical applications. In this paper we propose a nonrigid image registration algorithm for coronary angiography images that is significantly faster than multiresolution and iterative blocking methods and outperforms competing algorithms evaluated on the same data sets. This algorithm is based on a sparse set of matched feature point pairs and the elastic registration is performed by means of multilevel B-spline image warping. Experimental results with several clinical data sets demonstrate the effectiveness of our approach. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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