Image-based frame gating of IVUS pullbacks: A surrogate for ECG

Sean M. O'Malley, Stéphane G. Carlier, Morteza Naghavi, Ioannis A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations

Abstract

Intravascular ultrasound (IVUS) is a catheter-based modality which is used to produce high-resolution, cross-sectional images of the interior of blood vessels. By capturing 2-D IVUS images continually while translating the catheter, a volumetric image of a vessel may be digitally reconstructed. To improve the quality of these volumes, electrocardiogram (ECG)-based frame, gating is often applied to alleviate motion artifacts caused by the beating heart. However, there are several issues surrounding the use of ECG signals which make their use for this purpose potentially suboptimal. We introduce a method which gates pullback sequences by examining the imaging data alone, without requiring synchronous ECG, and guarantees that frames will be collected at those points in time when the heart is maximally motionless (i.e., regardless of the fraction of cardiac phase associated with those, points). We compare the results of our method, and, of ECG on pull-backs captured in vivo in swine.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesI433-I436
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume1
ISSN (Print)1520-6149

Conference

Conference2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Country/TerritoryUnited States
CityHonolulu, HI
Period4/15/074/20/07

Keywords

  • Biomedical acoustics
  • Biomedical image processing
  • Biomedical signal analysis
  • Cardiovascular system
  • Electrocardiography

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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