title: A quantitative evaluation of the three dimensional reconstruction of patients' coronary arteries.
abstract: BACKGROUND
  Through extensive training and experience angiographers learn to mentally reconstruct the three dimensional (3D) relationships of the coronary arterial branches. Graphic computer technology can assist angiographers to more quickly visualize the coronary 3D structure from limited initial views and then help to determine additional helpful views by predicting subsequent angiograms before they are obtained.
  
  
  METHODS
  A new computer method for facilitating 3D reconstruction and visualization of human coronary arteries was evaluated by reconstructing biplane left coronary angiograms from 30 patients. The accuracy of the reconstruction was assessed in two ways: 1) by comparing the vessel's centerlines of the actual angiograms with the centerlines of a 2D projection of the 3D model projected into the exact angle of the actual angiogram; and 2) by comparing two 3D models generated by different simultaneous pairs on angiograms. The inter- and intraobserver variability of reconstruction were evaluated by mathematically comparing the 3D model centerlines of repeated reconstructions.
  
  
  RESULTS
  The average absolute corrected displacement of 14,662 vessel centerline points in 2D from 30 patients was 1.64 +/- 2.26 mm. The average corrected absolute displacement of 3D models generated from different biplane pairs was 7.08 +/- 3.21 mm. The intraobserver variability of absolute 3D corrected displacement was 5.22 +/- 3.39 mm. The interobserver variability was 6.6 +/- 3.1 mm.
  
  
  CONCLUSIONS
  The centerline analyses show that the reconstruction algorithm is mathematically accurate and reproducible. The figures presented in this report put these measurement errors into clinical perspective showing that they yield an accurate representation of the clinically relevant information seen on the actual angiograms. These data show that this technique can be clinically useful by accurately displaying in three dimensions the complex relationships of the branches of the coronary arterial tree.
authors.affiliation: Emory University School of Medicine, Atlanta, GA, USA. larry@ecc.eushc.org
authors.forename: J L
authors.initials: JL
authors.lastname: Klein
authors.forename: J G
authors.initials: JG
authors.lastname: Hoff
authors.forename: J W
authors.initials: JW
authors.lastname: Peifer
authors.forename: R
authors.initials: R
authors.lastname: Folks
authors.forename: C D
authors.initials: CD
authors.lastname: Cooke
authors.forename: S B
authors.initials: SB
authors.lastname: King
authors.forename: E V
authors.initials: EV
authors.lastname: Garcia
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D017023:Coronary Angiography; D003327:Coronary Disease / Q000000981:diagnostic imaging / Q000473:pathology*; D003331:Coronary Vessels / Q000473:pathology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D015588:Observer Variation; D011237:Predictive Value of Tests; D015203:Reproducibility of Results