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

Stereopsis of X-ray images can produce 3D tree of coronary arteries up to a certain accuracy level with a lower dose of radiation when compared to computer tomography (CT). In this study, a novel and complete automatic system is designed that covers preprocessing, segmentation, matching and reconstr...

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Published in:Journal of Medical Systems Vol. 40; no. 4; pp. 1 - 12
Main Authors: Cetin, Mufit, Iskurt, Ali
Format: diagnostic images equations & formulas research tables/charts Journal Article
Published: Springer Nature Apr2016
Online Access:View this record in EBSCOhost
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      jtl: Journal of Medical Systems
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      dt: Apr2016
      vid: 40
      iid: 4
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-016-0455-z
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        atl: An Automatic 3-D Reconstruction of Coronary Arteries by Stereopsis.
      aug:
        au:
          Cetin, Mufit
          Iskurt, Ali
        affil: Yalova University, Yalova Turkey
      sug:
        subj:
          Coronary Vessels Anatomy and Histology
          Coronary Angiography Methods
          Imaging, Three-Dimensional Methods
          Automation
          Stereopsis
          Human
          Algorithms
          Coronary Vessels Radiography
          Software
          Cardiac Patients
          Academic Medical Centers
          Turkiye
          Electrocardiography
          Descriptive Statistics
      ab: Stereopsis of X-ray images can produce 3D tree of coronary arteries up to a certain accuracy level with a lower dose of radiation when compared to computer tomography (CT). In this study, a novel and complete automatic system is designed that covers preprocessing, segmentation, matching and reconstruction steps for that purpose. First, an automatic and novel pattern recognition technique is applied for extraction of the bifurcation points with their diameters recorded in a map. Then, a novel optimization algorithm is run for matching the branches efficiently which is based on that map and the epipolar geometry of stereopsis. Finally, cut branches are fixed one by one at the bifurcations for completing the 3D reconstruction. This method prevails the similar ones in the literature with this novelty since it automatically and inherently prevents the wrong overlapping of branches. Other essential problems like correct detection of the bifurcations and accurate calibration parameters and fast overlapping of matched branches are addressed at acceptable levels. The accuracy of bifurcation extraction is high at 90 % with 96 % sensitivity. Accuracy of vessel centerlines has rootmean-square (rms) error smaller than 0.57 mm for 20 different patients. For phantom model, rms error is 0.75 ± 0.8 mm in 3D localization.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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