A method for coronary bifurcation centerline reconstruction from angiographic images based on focalization optimization

Francesco Burzotta, Cristina Aurigemma, E. Montin, S. Migliori, C. Chiastra, C. Credi, R. Fedele, M. Levi, F. Migliavacca, L. T. Mainardi

Risultato della ricerca: Contributo in rivistaArticolo in rivista

2 Citazioni (Scopus)

Abstract

A method for the reconstruction of a vessel centerline from angiographic images is outlined in this work. A typical coronary artery segment with bifurcations was emulated with a 3D printed static phantom and several angiograms were acquired at various angular positions on the C-Arm. The effectiveness of the reconstruction turned out to be largely influenced by the intrinsic parameters of the angiographic system, particularly the homogeneous coordinates system scaling factor λ. Therefore, recourse was made to a heuristic optimization method to estimate the optimal value of λ for each view. We measured the reliability of the reconstruction method by varying the fitness function of the optimization step and measuring the distances of 8 test points in comparison to the corresponding points identified in the μCT centerline. Preliminary results showed that, with an adequate number of views, the adoption of the optimal fitness function allowed the median distance error to be decreased below the acceptance threshold of 10%. As expected, the reliability of the method is improved by increasing the number of processed views.
Lingua originaleEnglish
pagine (da-a)4165-4168
Numero di pagine4
RivistaIEEE ENGINEERING IN MEDICINE AND BIOLOGY ... ANNUAL CONFERENCE PROCEEDINGS
Volume2016
DOI
Stato di pubblicazionePubblicato - 2016

Keywords

  • Algorithms
  • Computer-Aided Design
  • Coronary Angiography
  • Coronary Vessels
  • Humans
  • Image Processing, Computer-Assisted
  • Imaging, Three-Dimensional
  • Tomography, Optical Coherence
  • X-Ray Microtomography

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