Usefulness of standard deviation on the histogram of ultrasound as a quantitative value for hepatic parenchymal echo texture; preliminary study

Lee, Changhee; Choi, Jae Woong; Kim, Kyeong Ah; Seo, Tae k Seo; Lee, Jong Mee; Park, Cheol‐Min

doi:10.1016/j.ultrasmedbio.2006.06.014

Cited by 47 publications

(50 citation statements)

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“…Para tentar evitar possíveis erros de interpretação e minimizar a subjetividade do exame, utilizam-se técnicas que quantificam a ecogenicidade e ecotextura como análise por sinal de vídeo (Waller et al 2003), estimação da atenuação (Kenneth et al 1986, Lu et al 1997) e backscatter (Garra et al 1984, Parker et al 1984, Lu et al 1997) e histograma dos níveis de cinza (Osawa & Mori 1996, Maeda, Utsu & Kihaile 1998, Lee et al 2006.…”

Section: Introductionunclassified

“…O programa elabora a representação gráfica do número de pixels, associado a cada nível de cinza presente na imagem (Queiroz 2006). A ecogenicidade é determinada pela quantificação dos ecos que retornam ao transdutor, enquanto que, a ecotextura, é determinada pela quantidade de pontos luminosos que mais se repetem na região selecionada e pela diferença da amplitude de ecos ultrassonográficos que retornam ao transdutor e formam a imagem selecionada (Maeda et al 1998, Lee et al 2006. Essa análi-se pode dar informações úteis sobre a estrutura e a função do testículo (Chandolia et al 1997).…”

Section: Introductionunclassified

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Análise quantitativa da ecogenicidade testicular pela técnica do histograma de ovinos da baixada ocidental maranhense

et al. 2015

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RESUMO.-A ultrassonografia é um método de diagnóstico por imagem que permite a avaliação de diferentes órgãos e estruturas corpóreas de maneira não invasiva. No entanto, a avaliação subjetiva das imagens caracteriza um dos grandes entraves na utilização desta técnica de diagnósti-co, havendo necessidade de mecanismos que minimizem a subjetividade do exame e a divergência na interpretação dos achados ultrassonográficos. Desta forma este trabalho objetivou caracterizar a ecogenicidade do parênquima e mediastino testicular de ovinos utilizando a técnica do histograma escala-cinza. Foram utilizados 30 animais divididos em três grupos de acordo com a faixa etária (FE): de três a seis meses (FE1), sete a 12 meses (FE2), 13 a 18 meses (FE3) e realizadas varreduras testiculares nos planos frontal, sagital e transversal, elaborando ao final um histo- Ultrasound is a diagnostic imaging method that allows a no invasive evaluation of different organs and body structures. However, the personal evaluation of images is one of the major hampers in using this technique. In order to reduce this drawback, it is necessary to find out tools that can help diminish the divergence in the interpretation of sonographic findings. Therefore, this study aimed to identify features of the parenchyma's and mediastinum's testis of sheep echogenicity using the technique of gray scale histogram. 30 animals were divided into three groups according to age (FE): three to six months (FE1), seven to 12 months (FE2), 13 to 18 months (FE3). The testicular scans were performed in the frontal, sagital and transverse views, and the gray scale histograms were analyzed. It was observed that such parenchymal as the mediastinum testis echogenicity gradually increased with the aging of the animals, with mean and standard deviation of 95.00±19.05 and 94.35±18.82 for the echogenicity parenchyma of the right and left antimere, respectively, and 127.95±12.97 to 126.59±11.78, for the right and the left mediastinum. The technique of gray scale histogram was an efficient method for determination of testicular echogenicity, enabling the establishment of normal standards that may assist future research in monitoring testicular development as well as for detecting pathologies. For exclusive regimes of extensive farming, as the western lowland region of Maranhão, is a valuable tool for use in social projects of the State to attend the family farm.

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Section: Introductionunclassified

Análise quantitativa da ecogenicidade testicular pela técnica do histograma de ovinos da baixada ocidental maranhense

et al. 2015

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“…In this scope, a set of features extracted from the US liver parenchyma images are used to detect the steatosis condition. The most common features described in the literature are based on the first order statistics [3], [4], co-occurrence matrix [5], wavelet transform [6], [5], attenuation along the depth [7] and backscattering [7] parameters and coefficients. Also, in this study, it is compared the results of four different classifiers: Bayes, knearest neighbor (kNN), Support Vector Machines (SVM): polynomial and radial-basis kernels.…”

Section: Introductionmentioning

confidence: 99%

Global and local detection of liver steatosis from ultrasound

Ribeiro

Marinho

Sanches

2012

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-Liver steatosis is a common disease usually associated with social and genetic factors. Early detection and quantification is important since it can evolve to cirrhosis.Steatosis is usually a diffuse liver disease, since it is globally affected. However, steatosis can also be focal affecting only some foci difficult to discriminate. In both cases, steatosis is detected by laboratorial analysis and visual inspection of ultrasound images of the hepatic parenchyma. Liver biopsy is the most accurate diagnostic method but its invasive nature suggest the use of other non-invasive methods, while visual inspection of the ultrasound images is subjective and prone to error.In this paper a new Computer Aided Diagnosis (CAD) system for steatosis classification and analysis is presented, where the Bayes Factor, obatined from objective intensity and textural features extracted from US images of the liver, is computed in a local or global basis. The main goal is to provide the physician with an application to make it faster and accurate the diagnosis and quantification of steatosis, namely in a screening approach.The results showed an overall accuracy of 93.54% with a sensibility of 95.83% and 85.71% for normal and steatosis class, respectively. The proposed CAD system seemed suitable as a graphical display for steatosis classification and comparison with some of the most recent works in the literature is also presented.

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“…Since Fatty Liver Diseases are currently the focal point of liver diseases, such studies have significantly increased. According to the employed technology, the image analysis methods for steatosis assessment can be categorized as (i) Histological/Biopsy; (ii) CT [9,10]; (iii) US [11,12]; and (iv) MRI analysis [2,13]. Reasonably, advantages and disadvantages of these methods can be also listed according to the technology used.…”

Section: Related Workmentioning

confidence: 99%

Automated Detection of Liver Histopathological Findings Based on Biopsy Image Processing

et al. 2017

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Hepatic steatosis is the accumulation of fat in the hepatic cells and the liver. Triglycerides and other kinds of molecules are included in the lipids. When there is some defect in the process, hepatic steatosis arise, during which the free fatty acids are taken by the liver and exuded as lipoproteins. Alcohol is the main cause of steatosis when excessive amounts are consumed for a long period of time. In many cases, steatosis can lead to inflammation that is mentioned as steatohepatitis or non-alcoholic steatohepatitis (NASH), which can later lead to fibrosis and finally cirrhosis. For automated detection and quantification of hepatic steatosis, a novel two-stage methodology is developed in this study. Initially, the image is processed in order to become more suitable for the detection of fat regions and steatosis quantification. In the second stage, initial candidate image regions are detected, and then they are either validated or discarded based on a series of criteria. The methodology is based on liver biopsy image analysis, and has been tested using 40 liver biopsy images obtained from patients who suffer from hepatitis C. The obtained results indicate that the proposed methodology can accurately assess liver steatosis.

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Usefulness of standard deviation on the histogram of ultrasound as a quantitative value for hepatic parenchymal echo texture; preliminary study

Cited by 47 publications

References 14 publications

Análise quantitativa da ecogenicidade testicular pela técnica do histograma de ovinos da baixada ocidental maranhense

Análise quantitativa da ecogenicidade testicular pela técnica do histograma de ovinos da baixada ocidental maranhense

Global and local detection of liver steatosis from ultrasound

Automated Detection of Liver Histopathological Findings Based on Biopsy Image Processing

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