Literature DB >> 6616777

Range- and azimuth-dependent variability of image texture in two-dimensional echocardiograms.

D J Skorton, S M Collins, S D Woskoff, J A Bean, H E Melton.   

Abstract

Regional two-dimensional (2D) echocardiographic amplitude patterns, or image texture, may be of diagnostic importance. Echocardiographic image texture is due in part to acoustic speckle, a complex pattern of interference of reflections from many small scatterers in tissue. The regional speckle pattern appears to be altered in several disorders associated with abnormalities in myocardial structure but also may be altered by a variety of characteristics of the scanning instrument. We hypothesized that quantitative measures of regional 2D echocardiographic image texture would vary as a function of position in range and azimuth within the field of view, even when imaging a uniform ensemble of scatterers. We tested this hypothesis by imaging a tissue-equivalent phantom with two phased-array scanners and two different methods of digitization. We analyzed the texture in several regions of interest separated in range and azimuth and found significant differences in quantitative texture measures as a function of position of the region of interest in the sector field of view (p values .006 to .0001 by multivariate analysis of variance). We found significant regional variability in texture with both scanners and both methods of digitization. We conclude that regional quantitative image texture in 2D echocardiograms varies as a function of range and azimuth, even when imaging a uniform ensemble of scatterers. This variability is related to several physical and instrument-related phenomena and precludes interpreting all regional texture alterations as indicating tissue structural abnormalities.

Mesh:

Year:  1983        PMID: 6616777     DOI: 10.1161/01.cir.68.4.834

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  9 in total

1.  The echocardiographic spectrum of atrial myxoma: a ten-year experience.

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Review 2.  Computer methods in quantitation of cardiac wall parameters from two dimensional echocardiograms: a survey.

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Authors:  M Nowak; P Rosenberger; T W Felbinger; A E Götz; S K Shernan; K Unertl; H K Eltzschig
Journal:  Anaesthesist       Date:  2006-03       Impact factor: 1.041

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Journal:  Int J Card Imaging       Date:  1991

5.  Ultrasonic tissue characterization of the upper trapezius muscle in patients with myofascial pain syndrome.

Authors:  Diego Turo; Paul Otto; Jay P Shah; Juliana Heimur; Tadesse Gebreab; Katherine Armstrong; Lynn H Gerber; Siddhartha Sikdar
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

6.  Ultrasonic characterization of the upper trapezius muscle in patients with chronic neck pain.

Authors:  Diego Turo; Paul Otto; Jay P Shah; Juliana Heimur; Tadesse Gebreab; Maryam Zaazhoa; Katherine Armstrong; Lynn H Gerber; Siddhartha Sikdar
Journal:  Ultrason Imaging       Date:  2013-04       Impact factor: 1.578

7.  Haralick texture features from apparent diffusion coefficient (ADC) MRI images depend on imaging and pre-processing parameters.

Authors:  Patrik Brynolfsson; David Nilsson; Turid Torheim; Thomas Asklund; Camilla Thellenberg Karlsson; Johan Trygg; Tufve Nyholm; Anders Garpebring
Journal:  Sci Rep       Date:  2017-06-22       Impact factor: 4.379

8.  Gray-level invariant Haralick texture features.

Authors:  Tommy Löfstedt; Patrik Brynolfsson; Thomas Asklund; Tufve Nyholm; Anders Garpebring
Journal:  PLoS One       Date:  2019-02-22       Impact factor: 3.240

9.  Artificial intelligence-based myocardial texture analysis in etiological differentiation of left ventricular hypertrophy.

Authors:  Fei Yu; Haibo Huang; Qihui Yu; Yuqing Ma; Qi Zhang; Bo Zhang
Journal:  Ann Transl Med       Date:  2021-01
  9 in total

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