title: A system for determination of 3D vessel tree centerlines from biplane images.
abstract: With the increasing number and complexity of therapeutic coronary interventions, there is an increasing need for accurate quantitative measurements. These interventions and measurements may be facilitated by accurate and reproducible magnifications and orientations of the vessel structures, specifically by accurate 3D vascular tree centerlines. A number of methods have been proposed to calculate 3D vascular tree centerlines from biplane images. In general, the calculated magnifications and orientations are accurate to within approximately 1-3% and 2-5 degrees, respectively. Here, we present a complete system for determination of the 3D vessel centerlines from biplane angiograms without the use of a calibration object. Subsequent to indication of the vessel centerlines, the imaging geometry and 3D centerlines are calculated automatically and within approximately 2 min. The system was evaluated in terms of the intra- and inter-user variations of the various calculated quantities. The reproducibilities obtained with this system are comparable to or better than the accuracies and reproducibilities quoted for other proposed methods. Based on these results and those reported in earlier studies, we believe that this system will provide accurate and reproducible vascular tree centerlines from biplane images while the patient is still on the table, and thereby will facilitate interventions and associated quantitative analyses of the vasculature.
authors.affiliation: Toshiba Stroke Research Center, Department of Neurosurgery, SUNY at Buffalo, NY 14214-3025, USA. kh9@acsu.buffalo.edu
authors.forename: K R
authors.initials: KR
authors.lastname: Hoffmann
authors.forename: A
authors.initials: A
authors.lastname: Sen
authors.forename: L
authors.initials: L
authors.lastname: Lan
authors.forename: K G
authors.initials: KG
authors.lastname: Chua
authors.forename: J
authors.initials: J
authors.lastname: Esthappan
authors.forename: M
authors.initials: M
authors.lastname: Mazzucco
mesh_terms: D017023:Coronary Angiography; D003331:Coronary Vessels / Q000033:anatomy & histology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D011856:Radiographic Image Enhancement