Abstract 15476: Reduction of Medical Ultrasound Reverberation Artifacts in Cardiac Imaging Using a Data-Adaptive Signal Separation Scheme
Introduction: The prevalence of artifacts in ultrasound cardiac imaging is a major limitation in clinical practice that motivates the use of alternative imaging modalities, such as computed tomography (CT) or magnetic resonance imaging (MRI). CT involves the use of ionizing radiation and both CT and MRI involve high infrastructure and operating costs. Reverberation artifacts, referred to as “clutter”, are common artifacts in ultrasound cardiac imaging that obscure the intended dynamic cardiac signal and preclude accurate diagnosis of cardiac function through qualitative (i.e. “eyeballing”) or quantitative (e.g. image feature tracking analysis) means.Hypothesis: In contrast to previous attempts at clutter rejection, the singular value filter (SVF) is a signal separation scheme that adaptively computes non-binary filter coefficients from statistical properties of the underlying data. We hypothesize that the SVF strategy significantly reduces clutter artifacts in ultrasound cardiac imaging.
Methods: Experimental cardiac imaging was performed in mice (n=9) using the VisualSonics Vevo 2100. Removable artifacts were generated using a wire, which was placed between the heart and the transducer. SVF performance was quantitatively assessed in terms of image intensity error between images acquired when the artifact was present and when the artifact was removed.
Results Conclusions: Experimental results demonstrated substantial reduction of clutter artifact using the SVF strategy. The Figure provides an example short-axis image before and after SVF where the white circle indicates the region of clutter. Average image signal intensity error with SVF was < 4.7%, which represented a 63% decrease compared with traditional cardiac imaging (i.e. no SVF) at statistical significance P<0.001. We conclude that SVF reduces clutter artifact errors in cardiac imaging with statistical significance.
- © 2011 by American Heart Association, Inc.