LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiography

被引:87
作者
Angelini, ED
Laine, AF [1 ]
Takuma, S
Holmes, JW
Homma, S
机构
[1] Columbia Univ, Fu Fdn, Sch Engn & Appl Sci, Dept Biomed Engn, New York, NY 10027 USA
[2] Columbia Univ, Fu Fdn, Sch Engn & Appl Sci, Dept Biomed Engn & Radiol, New York, NY 10027 USA
[3] Columbia Univ, Coll Phys & Surg, Dept Med, Echocardio Labs,Columbia Presbyterian Med Ctr, New York, NY 10032 USA
关键词
echocardiography; LV volume; spaciotemporal analysis; speckle denoising;
D O I
10.1109/42.929612
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:457 / 469
页数:13
相关论文
共 67 条
  • [31] TRACKING DEFORMABLE OBJECTS IN THE PLANE USING AN ACTIVE CONTOUR MODEL
    LEYMARIE, F
    LEVINE, MD
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1993, 15 (06) : 617 - 634
  • [32] Lin JW, 2001, IEEE T BIO-MED ENG, V48, P202, DOI 10.1109/10.909641
  • [33] Tracking the left ventricle in echocardiographic images by learning heart dynamics
    Malassiotis, S
    Strintzis, MG
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 1999, 18 (03) : 282 - 290
  • [34] A THEORY FOR MULTIRESOLUTION SIGNAL DECOMPOSITION - THE WAVELET REPRESENTATION
    MALLAT, SG
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1989, 11 (07) : 674 - 693
  • [35] LAPPED TRANSFORMS FOR EFFICIENT TRANSFORM SUBBAND CODING
    MALVAR, HS
    [J]. IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1990, 38 (06): : 969 - 978
  • [36] McInerney T, 1996, Med Image Anal, V1, P91, DOI 10.1016/S1361-8415(96)80007-7
  • [37] McInerney T., 1993, [1993] Proceedings Fourth International Conference on Computer Vision, P518, DOI 10.1109/ICCV.1993.378169
  • [38] Quantitative assessment of aortic stenosis by three-dimensional echocardiography
    Menzel, T
    MohrKahaly, S
    Kolsch, B
    Kupferwasser, I
    Kopp, H
    Spiecker, M
    Wagner, S
    Meinert, R
    Pagnia, F
    Meyer, J
    [J]. JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY, 1997, 10 (03) : 215 - 223
  • [39] METAXAS D, 1996, PHYSICS BASED DEFORM
  • [40] Brushlets: A tool for directional image analysis and image compression
    Meyer, FG
    Coifman, RR
    [J]. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 1997, 4 (02) : 147 - 187