Conflict of interest: Shashidhar Sathyanarayana, PhD, Wenguang Li, PhD, Tat-Jin Teo, PhD are employee of Boston Scientific Corporation. No other authors have a conflict of interest to report.
E-ONLY: Coronary Artery Disease
Improved automated lumen contour detection by novel multifrequency processing algorithm with current intravascular ultrasound system
Article first published online: 26 SEP 2011
Copyright © 2011 Wiley Periodicals, Inc.
Catheterization and Cardiovascular Interventions
Volume 81, Issue 3, pages E173–E177, February 2013
How to Cite
Kume, T., Kim, B.-K., Waseda, K., Sathyanarayana, S., Li, W., Teo, T.-J., Yock, P. G., Fitzgerald, P. J. and Honda, Y. (2013), Improved automated lumen contour detection by novel multifrequency processing algorithm with current intravascular ultrasound system. Cathet. Cardiovasc. Intervent., 81: E173–E177. doi: 10.1002/ccd.23274
- Issue published online: 18 FEB 2013
- Article first published online: 26 SEP 2011
- Accepted manuscript online: 29 JUL 2011 11:16AM EST
- Manuscript Accepted: 7 JUN 2011
- Manuscript Revised: 15 MAY 2011
- Manuscript Received: 13 FEB 2011
- intravascular ultrasound;
- diagnostic cardiac catheterization
Objectives: The aim of this study was to evaluate a new fully automated lumen border tracing system based on a novel multifrequency processing algorithm. Background: We developed the multifrequency processing method to enhance arterial lumen detection by exploiting the differential scattering characteristics of blood and arterial tissue. The implementation of the method can be integrated into current intravascular ultrasound (IVUS) hardware. Methods: This study was performed in vivo with conventional 40-MHz IVUS catheters (Atlantis SR Pro™, Boston Scientific Corp, Natick, MA) in 43 clinical patients with coronary artery disease. A total of 522 frames were randomly selected, and lumen areas were measured after automatically tracing lumen borders with the new tracing system and a commercially available tracing system (TraceAssist™) referred to as the “conventional tracing system.” The data assessed by the two automated systems were compared with the results of manual tracings by experienced IVUS analysts. Results: New automated lumen measurements showed better agreement with manual lumen area tracings compared with those of the conventional tracing system (correlation coefficient: 0.819 vs. 0.509). When compared against manual tracings, the new algorithm also demonstrated improved systematic error (mean difference: 0.13 vs. −1.02 mm2) and random variability (standard deviation of difference: 2.21 vs. 4.02 mm2) compared with the conventional tracing system. Conclusions: This preliminary study showed that the novel fully automated tracing system based on the multifrequency processing algorithm can provide more accurate lumen border detection than current automated tracing systems and thus, offer a more reliable quantitative evaluation of lumen geometry. © 2011 Wiley Periodicals, Inc.