Image-based gating of intravascular ultrasound pullback sequences

Sean M. O'Malley, Juan F. Granada, Stéphane Carlier, Morteza Naghavi, Ioannis A. Kakadiaris

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Intravascular ultrasound (IVUS) sequences recorded in vivo are subject to a wide array of motion artifacts as the majority of these studies are performed within the coronary arteries of a beating heart. To eliminate these artifacts, an electrocardiogram (ECG) signal is typically used to gate (collect) those frames recorded at the points in time associated with a particular fraction of the cardiac cycle. However, this technique may be suboptimal for a number of reasons, among which is the difficulty of determining the optimal fraction at which to gate. This value is generally nonobvious. To circumvent this problem, we introduce a frame-gating method for IVUS pullbacks that mimics ECG (i.e., in the sense that it selects only one frame per cardiac cycle), but will automatically choose the fraction of the cycle that renders the most stable gated frame set. Stability here is gauged by measuring interframe similarity. Our method operates exclusively on the imagery data and does not require ECG or any form of image segmentation or other high-level image analysis. To validate our algorithm, we compare its behavior versus true ECG gating.

Original languageEnglish (US)
Pages (from-to)299-306
Number of pages8
JournalIEEE Transactions on Information Technology in Biomedicine
Volume12
Issue number3
DOIs
StatePublished - May 2008

Keywords

  • Cardiac cycle
  • Electrocardiogram
  • Frame gating
  • Heart rate
  • Intravascular ultrasound (IVUS)

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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