title: LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiography.
abstract: This paper presents a method of four-dimensional (4-D) (3-D + Time) space-frequency analysis for directional denoising and enhancement of real-time three-dimensional (RT3D) ultrasound and quantitative measures in diagnostic cardiac ultrasound. Expansion of echocardiographic volumes is performed with complex exponential wavelet-like basis functions called brushlets. These functions offer good localization in time and frequency and decompose a signal into distinct patterns of oriented harmonics, which are invariant to intensity and contrast range. Deformable-model segmentation is carried out on denoised data after thresholding of transform coefficients. This process attenuates speckle noise while preserving cardiac structure location. The superiority of 4-D over 3-D analysis for decorrelating additive white noise and multiplicative speckle noise on a 4-D phantom volume expanding in time is demonstrated. Quantitative validation, computed for contours and volumes, is performed on in vitro balloon phantoms. Clinical applications of this spaciotemporal analysis tool are reported for six patient cases providing measures of left ventricular volumes and ejection fraction.
authors: Department of Biomedical Engineering, Fu Foundation School of Engineering and Applied Science, Columbia University, New York, NY 10027, USA.
authors: E D
authors: ED
authors: Angelini
authors: A F
authors: AF
authors: Laine
authors: S
authors: S
authors: Takuma
authors: J W
authors: JW
authors: Holmes
authors: S
authors: S
authors: Homma
mesh_terms: D002306:Cardiac Volume / Q000502:physiology; D003971:Diastole / Q000502:physiology; D019561:Echocardiography, Four-Dimensional / Q000295:instrumentation / Q000379:methods*; D019560:Echocardiography, Three-Dimensional / Q000295:instrumentation / Q000379:methods*; D005583:Fourier Analysis; D006352:Heart Ventricles / Q000000981:diagnostic imaging*; D006801:Humans; D019047:Phantoms, Imaging; D012815:Signal Processing, Computer-Assisted; D013599:Systole / Q000502:physiology