Novel phase-based noise reduction strategy for quantification of left ventricular function and mass assessment by cardiac CT: comparison with cardiac magnetic resonance. Academic Article uri icon

Overview

abstract

  • BACKGROUND: Tube current modulation in retrospective ECG gated cardiac computed tomography (CT) results in increased image noise and may reduce the accuracy of left ventricular (LV) ejection fraction (EF) and mass assessment. OBJECTIVE: To examine the effects of a novel CT phase-based noise reduction (NR) algorithm on LV EF and mass quantification as compared to cardiac magnetic resonance (CMR). METHODS: In 40 subjects, we compared the LV EF and mass between CT and CMR. In a subset of 24 subjects with tube current modulated CT, the effect of phase-based noise reduction strategies on contrast-to-noise ratio (CNR) and the assessment of LV EF and mass was compared to CMR. RESULTS: There was excellent correlation between CT and CMR for EF (r=0.94) and mass (r=0.97). As compared to CMR, the limits of agreement improved with increasing strength of NR strategy. There was a systematic underestimation of LV mass by CT compared to CMR with no NR (-10.3±10.1g) and low NR (-10.3±12.5g), but was attenuated with high NR (-0.5±8.3g). Studies without NR had lower CNR compared to low and high NR at both the ES phase and ED phase (all p<0.01). CONCLUSIONS: A high NR strategy on tube current modulated functional cardiac CT improves correlation of EF compared to CMR and reduces variability of EF and mass evaluation by increasing the CNR. In an effort to reduce radiation dose with tube current modulation, this strategy provides better image quality when LV function and mass quantification is needed.

publication date

  • March 20, 2013

Research

keywords

  • Cardiac-Gated Imaging Techniques
  • Coronary Artery Disease
  • Image Enhancement
  • Magnetic Resonance Imaging, Cine
  • Stroke Volume
  • Tomography, X-Ray Computed
  • Ventricular Dysfunction, Left

Identity

PubMed Central ID

  • PMC3736348

Scopus Document Identifier

  • 84879499936

Digital Object Identifier (DOI)

  • 10.1016/j.ejrad.2013.02.023

PubMed ID

  • 23522745

Additional Document Info

volume

  • 82

issue

  • 8