Spatio-Temporal Directional Analysis of Real-Time Three Dimensional Cardiac Ultrasound

  • Elsa Angelini
  • Andrew Laine
Part of the Computational Imaging and Vision book series (CIVI, volume 19)


Among screening modalities, echocardiography is the fastest, least expensive, and least invasive method for imaging the heart. Recently a new generation of technology has been developed for real-time 3D (RT3D) transducers, where an entire cardiac volume may be acquired instantaneously. Such transducers no longer require volumetric reconstruction, as with rotational and freehand 3D ultrasound acquisition systems. While, the wealth of information acquired by RT3D transducers is by far greater than any other echocardiography screening modality, on the other hand, echoes acquired with RT3D systems have low spatial resolution in the short axis plane and a high level of speckle noise embedded in the signal. We have developed a multidimensional spatio-temporal denoising/enhancement tool using brushlet basis functions to characterize ultrasound data in terms of oriented texture components, which decorrelate non-coherent speckle noise in the frequency domain. A redundant brushlet expansion exploits spatial and temporal coherence to identify persistent cardiac structures while removing uncorrelated speckle noise components. Denoising performance is evaluated quantitatively on phantom volumes and qualitatively on clinical RT3D patient data. We show in this study that brushlet analysis is well adapted to the intrinsic nature of RT3D ultrasound data and outperforms traditional denoising methods. We also show that by incorporating the time dimension directly in the analysis, we can bring into play temporal coherence between successive frames to improve denoising performance and enhance cardiac boundaries and structure.


Wavelet Packet Fourier Domain Speckle Noise Soft Thresholding Hard Thresholding 
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Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Elsa Angelini
    • 1
  • Andrew Laine
    • 1
  1. 1.Department of Biomedical EngineeringColumbia UniversityNew YorkUSA

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