caa a22 4500 47579169X CHVBK 20180406123712.0 cr unu---uuuuu 170329e20001001xx s 000 0 eng 10.1023/A:1026528209003 doi (NATIONALLICENCE)springer-10.1023/A:1026528209003 A system for determination of 3D vessel tree centerlines from biplane images [Elektronische Daten] [Kenneth Hoffmann, Anindya Sen, Li Lan, Kok-Gee Chua, Jacqueline Esthappan, Marco Mazzucco] 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°, 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. Kluwer Academic Publishers, 2000 biplane angiography nationallicence three-dimensional nationallicence vascular analysis nationallicence Hoffmann Kenneth Toshiba Stroke Research Center, Department of Neurosurgery, SUNY at Buffalo, Buffalo, NY, USA aut Sen Anindya Bio-Imaging Research, Chicago, IL, USA aut Lan Li Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, The University of Chicago, Chicago, IL, USA aut Chua Kok-Gee Fox Valley Cardiovascular Consultants, Aurora, IL, USA aut Esthappan Jacqueline Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, The University of Chicago, Chicago, IL, USA aut Mazzucco Marco Department of Mathematics, University of Illinois in Chicago, Chicago, IL, USA aut The International Journal of Cardiac Imaging Kluwer Academic Publishers 16/5(2000-10-01), 315-330 0167-9899 16:5<315 2000 16 10554 https://doi.org/10.1023/A:1026528209003 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1026528209003 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hoffmann Kenneth Toshiba Stroke Research Center, Department of Neurosurgery, SUNY at Buffalo, Buffalo, NY, USA aut NATIONALLICENCE 700 1- Sen Anindya Bio-Imaging Research, Chicago, IL, USA aut NATIONALLICENCE 700 1- Lan Li Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, The University of Chicago, Chicago, IL, USA aut NATIONALLICENCE 700 1- Chua Kok-Gee Fox Valley Cardiovascular Consultants, Aurora, IL, USA aut NATIONALLICENCE 700 1- Esthappan Jacqueline Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, The University of Chicago, Chicago, IL, USA aut NATIONALLICENCE 700 1- Mazzucco Marco Department of Mathematics, University of Illinois in Chicago, Chicago, IL, USA aut NATIONALLICENCE 773 0- The International Journal of Cardiac Imaging Kluwer Academic Publishers 16/5(2000-10-01), 315-330 0167-9899 16:5<315 2000 16 10554 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer