A system for determination of 3D vessel tree centerlines from biplane images

التفاصيل البيبلوغرافية
العنوان: A system for determination of 3D vessel tree centerlines from biplane images
المؤلفون: K R, Hoffmann, A, Sen, L, Lan, K G, Chua, J, Esthappan, M, Mazzucco
المصدر: International journal of cardiac imaging. 16(5)
سنة النشر: 2001
مصطلحات موضوعية: Radiographic Image Enhancement, Imaging, Three-Dimensional, Image Processing, Computer-Assisted, Humans, Coronary Angiography, Coronary Vessels
الوصف: 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.
تدمد: 0167-9899
URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid________::6e2cd746149cb7c38b69e39d92cbe94e
https://pubmed.ncbi.nlm.nih.gov/11215917
رقم الأكسشن: edsair.pmid..........6e2cd746149cb7c38b69e39d92cbe94e
قاعدة البيانات: OpenAIRE