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

Skorton, David J.; Collins, Steve; Woskoff, Scott D.; Bean, Judy A.; Melton, Hewlett E.

doi:10.1161/01.cir.68.4.834

Cited by 58 publications

(14 citation statements)

References 18 publications

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“…It is a way of describing the spatial distribution of intensities 2 , which makes it useful in classification of similar regions in different images. In medical image analysis, texture analysis was adopted for analysis of ultrasound images of the liver 3 and heart 4 in the late 1970s and early 1980s, and gained popularity in the 1990s and 2000s for many medical imaging application, including oncology. Texture analysis enables description of tissue heterogeneity, a property believed to influence the outcome of cancer treatment 5 , which has led to applications in treatment response evaluation 6, 7, 5, 8 .…”

Section: Introductionmentioning

confidence: 99%

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

Brynolfsson

Nilsson

Torheim

et al. 2017

Sci Rep

135

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In recent years, texture analysis of medical images has become increasingly popular in studies investigating diagnosis, classification and treatment response assessment of cancerous disease. Despite numerous applications in oncology and medical imaging in general, there is no consensus regarding texture analysis workflow, or reporting of parameter settings crucial for replication of results. The aim of this study was to assess how sensitive Haralick texture features of apparent diffusion coefficient (ADC) MR images are to changes in five parameters related to image acquisition and pre-processing: noise, resolution, how the ADC map is constructed, the choice of quantization method, and the number of gray levels in the quantized image. We found that noise, resolution, choice of quantization method and the number of gray levels in the quantized images had a significant influence on most texture features, and that the effect size varied between different features. Different methods for constructing the ADC maps did not have an impact on any texture feature. Based on our results, we recommend using images with similar resolutions and noise levels, using one quantization method, and the same number of gray levels in all quantized images, to make meaningful comparisons of texture feature results between different subjects.

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Section: Introductionmentioning

confidence: 99%

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

Brynolfsson

Nilsson

Torheim

et al. 2017

Sci Rep

135

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show abstract

“…In this regard, grey scale distribution of the endometrium in roe deer of differing pregnancy status was quantifiable throughout embryonic diapause. One-dimensional grey scale analysis, used in humans to characterise changes in echocardiograms (Skorton et al 1983, Fraker et al 1988, Tak et al 1988, was successfully used in this study to enhance the examiners limited visual capabilities. Mean medians from grey scale histograms of the roe deer endometrium were consistently low in pregnant animals, starting in September.…”

Section: Discussionmentioning

confidence: 99%

Ultrasonography of the ovaries and uterus and grey scale analysis of the endometrium during embryonic diapause in European roe deer

Hermes¹,

Hildebrandt²,

Göritz³

et al. 2000

Acta Theriol.

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of the ovaries and uterus and grey scale analysis of the endometrium during embryonic diapause in European roe deer. Acta Theriologica 45: 559-572.Knowledge about the mechanisms of embryonic diapause in European roe deer Capreolus capreolus (Linnaeus, 1758), although first described 140 years ago, is not extensive. In contrast to post mortem publications, this is an in-vivo study which monitored individual ovarian and uterine dynamics during diapause by transrectal ultrasonography. Ten roe deer were examined at 4 to 6-week intervals starting from the end of the breeding season (August) until after implantation (January). Sonographic appearance of corpora lutea and their average number observed per animal did not differ between pregnant (3.6) and non-pregnant (3.2) does prior to implantation. However, in pregnant animals (n = 5) endometrial changes associated with embryonic diapause were identified. The endometrium in pregnant does were low in echogenicity compared to the non-pregnant. Changes in echogenicity of the endometrium were first detected three months before implantation. Observed endometrial changes were quantified by computer-assisted grey scale analysis. Mean medians of grey scale histograms were lower in pregnant compared to non-pregnant animals beginning as from October. In late December and January, embryonic structures were detected in animals in which a low echogenic endometrium had been observed earlier. Ultrasonography and grey scale analysis characterised efficiently the dynamic processes in the uterus and ovary during embryonic diapause in pregnant and non-pregnant roe deer.

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“…Recently, however, it has been demonstrated that even in 2-D images of a uniform ensemble of scatter ei, the regional quantitative 2-D texture differs with dif ferent positions [ 15], At the present stage of technology, it is also difficult to acquire transmitted ultrasound images from the human heart, surrounded as it is by the lungs and mediastinum. Quantitative integrated backscatter shows more promise for clinical application, since it utilizes ultrasound redirected back to the ultrasonic transducer.…”

Section: Discussionmentioning

confidence: 99%

Differentiation between Nontransmural and Transmural Myocardial Infarction Based on Quantitative Analysis of the Angle Dependence of Ultrasonic Backscatter

Kitabatake¹,

Shimazu²,

Nishioka³

et al. 1990

Am J Noninvas Cardiol

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This study tested the hypothesis that the angle-dependent nature of ultrasonic backscatter can differentiate nontransmural from transmural myocardial infarction. The relationship between the amplitude of integrated backscatter (IB) and the angle of incidence was studied in vitro with normal canine myocardium (n = 5) and infarcted myocardium 4 weeks after coronary ligation, including nontransmural (n = 5) and transmural infarcts (n = 2). A wide-band transducer was used (center frequency = 4.0 MHz). IB (dB) from the mid-portion of the myocardium was measured from a normal angle (0°) to 30° of incidence, by rotating a sample holder in 5° increments. Then the angular dependency of IB was determined as the slop (dB/degree) of a regression line plotted from IB versus the angle of incidence. IB was shown to be influenced by a function of the angle of incidence in all three groups. The amplitude of IB in nontransmural and transmural myocardial infarction was significantly greater than in normal myocardium over the range of angles studied (p < 0.01). However, IB at a normal angle could not distinguish nontransmural from transmural myocardial infarction (-43.2 ± 2.3 vs. -40.2 ± 4.0 dB, mean ± SD, p = NS). It became obvious that the angular dependency of IB could reliably distinguish nontransmural from transmural myocardial infarction (-0.189 ± 0.032 vs. -0.121 ± 0.012 dB/degree, p < 0.01). Furthermore, the angular dependency of IB in normal myocardium (-0.087 ± 0.024 dB/degree) was substantially smaller than in nontransmural (p < 0.01) or transmural myocardial infarction (p < 0.05). This analytic technique was highly reproducible. In conclusion, the angular dependency of IB allowed satisfactory differentiation between nontransmural and transmural myocardial infarction, although the amplitude of IB at a normal angle could not distinguish between the two groups. These findings suggest that quantitative analysis of the angle-dependence of ultrasonic backscatter offers considerable promise for cardiac tissue characterization.

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

Cited by 58 publications

References 18 publications

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

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

Ultrasonography of the ovaries and uterus and grey scale analysis of the endometrium during embryonic diapause in European roe deer

Differentiation between Nontransmural and Transmural Myocardial Infarction Based on Quantitative Analysis of the Angle Dependence of Ultrasonic Backscatter

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