Literature DB >> 12374311

Quantitative analysis of reconstructed 3-D coronary arterial tree and intracoronary devices.

S Y James Chen1, John D Carroll, John C Messenger.   

Abstract

Traditional quantitative coronary angiography is performed on two-dimensional (2-D) projection views. These views are chosen by the angiographer to minimize vessel overlap and foreshortening. With 2-D projection views that are acquired in this nonstandardized fashion, however, there is no way to know or estimate how much error occurs in the QCA process. Furthermore, coronary arteries possess a curvilinear shape and undergo a cyclical deformation due to their attachment to the myocardium. Therefore, it is necessary to obtain three-dimensional (3-D) information to best describe and quantify the dynamic curvilinear nature of the human coronary artery. Using a patient-specific 3-D coronary reconstruction algorithm and routine angiographic images, a new technique is proposed to describe: 1) the curvilinear nature of 3-D coronary arteries and intracoronary devices; 2) the magnitude of the arterial deformation caused by intracoronary devices and due to heart motion; and 3) optimal view(s) with respect to the desired "pathway" for delivering intracoronary devices.

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Year:  2002        PMID: 12374311     DOI: 10.1109/TMI.2002.801151

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  10 in total

1.  Three-dimensional analysis of in vivo coronary stent--coronary artery interactions.

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Journal:  Int J Cardiovasc Imaging       Date:  2004-08       Impact factor: 2.357

2.  The effect of intracranial stent implantation on the curvature of the cerebrovasculature.

Authors:  R M King; J-Y Chueh; I M J van der Bom; C F Silva; S L Carniato; G Spilberg; A K Wakhloo; M J Gounis
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3.  Computer methods for follow-up study of hemodynamic and disease progression in the stented coronary artery by fusing IVUS and X-ray angiography.

Authors:  Arso M Vukicevic; Nemanja M Stepanovic; Gordana R Jovicic; Svetlana R Apostolovic; Nenad D Filipovic
Journal:  Med Biol Eng Comput       Date:  2014-04-27       Impact factor: 2.602

4.  An Automatic 3-D Reconstruction of Coronary Arteries by Stereopsis.

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Journal:  J Med Syst       Date:  2016-02-10       Impact factor: 4.460

5.  Vessel centerline reconstruction from non-isocentric and non-orthogonal paired monoplane angiographic images.

Authors:  Mie Kunio; Caroline C O'Brien; Augusto C Lopes; Lynn Bailey; Pedro A Lemos; Guillermo J Tearney; Elazer R Edelman
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6.  A Robust and Efficient Curve Skeletonization Algorithm for Tree-Like Objects Using Minimum Cost Paths.

Authors:  Dakai Jin; Krishna S Iyer; Cheng Chen; Eric A Hoffman; Punam K Saha
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7.  Three-dimensional geometry of the human carotid artery.

Authors:  Alexey V Kamenskiy; Jason N MacTaggart; Iraklis I Pipinos; Jai Bikhchandani; Yuris A Dzenis
Journal:  J Biomech Eng       Date:  2012-06       Impact factor: 2.097

8.  Determination of optimal viewing regions for X-ray coronary angiography based on a quantitative analysis of 3D reconstructed models.

Authors:  Joel A Garcia; Babak Movassaghi; Ivan P Casserly; Andrew J Klein; S-Y James Chen; John C Messenger; Adam Hansgen; Onno Wink; Bertron M Groves; John D Carroll
Journal:  Int J Cardiovasc Imaging       Date:  2008-12-20       Impact factor: 2.357

9.  Fusion of 3D QCA and IVUS/OCT.

Authors:  Shengxian Tu; Niels R Holm; Gerhard Koning; Zheng Huang; Johan H C Reiber
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10.  Assessment of obstruction length and optimal viewing angle from biplane X-ray angiograms.

Authors:  Shengxian Tu; Gerhard Koning; Wouter Jukema; Johan H C Reiber
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  10 in total

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