Literature DB >> 18412266

ANGIOCARE: an automated system for fast three-dimensional coronary reconstruction by integrating angiographic and intracoronary ultrasound data.

Christos V Bourantas1, Fanis G Kalatzis, Michail I Papafaklis, Dimitrios I Fotiadis, Ann C Tweddel, Iraklis C Kourtis, Christos S Katsouras, Lampros K Michalis.   

Abstract

OBJECTIVES: The development of an automated, user-friendly system (ANGIOCARE), for rapid three-dimensional (3D) coronary reconstruction, integrating angiographic and, intracoronary ultrasound (ICUS) data.
METHODS: Biplane angiographic and ICUS sequence images are imported into the system where a prevalidated method is used for coronary reconstruction. This incorporates extraction of the catheter path from two end-diastolic X-ray images and detection of regions of interest (lumen, outer vessel wall) in the ICUS sequence by an automated border detection algorithm. The detected borders are placed perpendicular to the catheter path and established algorithms used to estimate their absolute orientation. The resulting 3D object is imported into an advanced visualization module with which the operator can interact, examine plaque distribution (depicted as a color coded map) and assess plaque burden by virtual endoscopy.
RESULTS: Data from 19 patients (27 vessels) undergoing biplane angiography and ICUS were examined. The reconstructed vessels were 21.3-80.2 mm long. The mean difference was 0.9 +/- 2.9% between the plaque volumes measured using linear 3D ICUS analysis and the volumes, estimated by taking into account the curvature of the vessel. The time required to reconstruct a luminal narrowing of 25 mm was approximately 10 min.
CONCLUSION: The ANGIOCARE system provides rapid coronary reconstruction allowing the operator accurately to estimate the length of the lesion and determine plaque distribution and volume. (c) 2008 Wiley-Liss, Inc.

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Year:  2008        PMID: 18412266     DOI: 10.1002/ccd.21527

Source DB:  PubMed          Journal:  Catheter Cardiovasc Interv        ISSN: 1522-1946            Impact factor:   2.692


  7 in total

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Authors:  Johannes Peter Fritsch; Rüdiger Brennecke
Journal:  J Digit Imaging       Date:  2011-06       Impact factor: 4.056

2.  A pragmatic approach to understand peripheral artery lumen surface stiffness due to plaque heterogeneity.

Authors:  Erica E Neumann; Melissa Young; Ahmet Erdemir
Journal:  Comput Methods Biomech Biomed Engin       Date:  2019-02-04       Impact factor: 1.763

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.  Optimal surface segmentation with convex priors in irregularly sampled space.

Authors:  Abhay Shah; Michael D Abámoff; Xiaodong Wu
Journal:  Med Image Anal       Date:  2019-02-08       Impact factor: 8.545

Review 5.  Focus on the research utility of intravascular ultrasound - comparison with other invasive modalities.

Authors:  Christos V Bourantas; Scot Garg; Katerina K Naka; Attila Thury; Angela Hoye; Lampros K Michalis
Journal:  Cardiovasc Ultrasound       Date:  2011-01-30       Impact factor: 2.062

6.  Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms.

Authors:  Ali Zifan; Panos Liatsis
Journal:  Comput Math Methods Med       Date:  2016-06-15       Impact factor: 2.238

Review 7.  The Evolution of Data Fusion Methodologies Developed to Reconstruct Coronary Artery Geometry From Intravascular Imaging and Coronary Angiography Data: A Comprehensive Review.

Authors:  Yakup Kilic; Hannah Safi; Retesh Bajaj; Patrick W Serruys; Pieter Kitslaar; Anantharaman Ramasamy; Vincenzo Tufaro; Yoshinobu Onuma; Anthony Mathur; Ryo Torii; Andreas Baumbach; Christos V Bourantas
Journal:  Front Cardiovasc Med       Date:  2020-03-31
  7 in total

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