Histogram-based quantitative grading on ultrasonographic images of a fatty liver
An abnormal fat accumulation in the liver can damage the liver cells and cause liver diseases. If the fat accumulation in the liver is diagnosed in the early stages; the functional abnormalities associated with fatty liver can be revealed and the severity of its can be assessed. There are several me...
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| Format: | Article |
| Language: | English |
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Gazi University
2020-06-01
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| Series: | Gazi Üniversitesi Fen Bilimleri Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/1140123 |
| _version_ | 1797912185444237312 |
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| author | Sevil TOPRAK Ömer KARAL |
| author_facet | Sevil TOPRAK Ömer KARAL |
| author_sort | Sevil TOPRAK |
| collection | DOAJ |
| description | An abnormal fat accumulation in the liver can damage the liver cells and cause liver diseases. If the fat accumulation in the liver is diagnosed in the early stages; the functional abnormalities associated with fatty liver can be revealed and the severity of its can be assessed. There are several medical imaging techniques to diagnose fatty liver and determine the grade of fat in the
liver. One of these techniques is the ultrasound imaging, which is non-invasive, cost-effective and easily accessible. However, there is always a need for an expert opinion to determine the level of fat in the liver from ultrasound images. Furthermore, the level of fat in the same liver image may be interpreted differently by the same or another expert when evaluated at different times. In order to increase objectivity and assist the expert, in this paper, a new quantitative measurement method called the Weighted Histogram (WH) is proposed to determine and grade the fatty liver from ultrasound images. The proposed WH method was compared with the results of the Gray Relational analysis method used for the same purpose in the literature. A Graphical User Interface (GUI) is designed to grade the fatty liver with MATLAB to improve ease of use. The proposed methodology will not only reduce false diagnosis caused by subjective differences in clinical assessment, but also quantitative assessment of fatty liver and grade by early diagnosis. |
| first_indexed | 2024-04-10T11:53:31Z |
| format | Article |
| id | doaj.art-2fb943a26ed94683babfb22a50d96e9f |
| institution | Directory Open Access Journal |
| issn | 2147-9526 |
| language | English |
| last_indexed | 2024-04-10T11:53:31Z |
| publishDate | 2020-06-01 |
| publisher | Gazi University |
| record_format | Article |
| series | Gazi Üniversitesi Fen Bilimleri Dergisi |
| spelling | doaj.art-2fb943a26ed94683babfb22a50d96e9f2023-02-15T16:17:01ZengGazi UniversityGazi Üniversitesi Fen Bilimleri Dergisi2147-95262020-06-018230631910.29109/gujsc.646817Histogram-based quantitative grading on ultrasonographic images of a fatty liverSevil TOPRAKhttps://orcid.org/0000-0002-3677-6439Ömer KARALhttps://orcid.org/0000-0001-8742-8189An abnormal fat accumulation in the liver can damage the liver cells and cause liver diseases. If the fat accumulation in the liver is diagnosed in the early stages; the functional abnormalities associated with fatty liver can be revealed and the severity of its can be assessed. There are several medical imaging techniques to diagnose fatty liver and determine the grade of fat in the liver. One of these techniques is the ultrasound imaging, which is non-invasive, cost-effective and easily accessible. However, there is always a need for an expert opinion to determine the level of fat in the liver from ultrasound images. Furthermore, the level of fat in the same liver image may be interpreted differently by the same or another expert when evaluated at different times. In order to increase objectivity and assist the expert, in this paper, a new quantitative measurement method called the Weighted Histogram (WH) is proposed to determine and grade the fatty liver from ultrasound images. The proposed WH method was compared with the results of the Gray Relational analysis method used for the same purpose in the literature. A Graphical User Interface (GUI) is designed to grade the fatty liver with MATLAB to improve ease of use. The proposed methodology will not only reduce false diagnosis caused by subjective differences in clinical assessment, but also quantitative assessment of fatty liver and grade by early diagnosis.https://dergipark.org.tr/tr/download/article-file/1140123fatty liverliver fat levelultrasound image processingweighted histogrammatlab gui |
| spellingShingle | Sevil TOPRAK Ömer KARAL Histogram-based quantitative grading on ultrasonographic images of a fatty liver Gazi Üniversitesi Fen Bilimleri Dergisi fatty liver liver fat level ultrasound image processing weighted histogram matlab gui |
| title | Histogram-based quantitative grading on ultrasonographic images of a fatty liver |
| title_full | Histogram-based quantitative grading on ultrasonographic images of a fatty liver |
| title_fullStr | Histogram-based quantitative grading on ultrasonographic images of a fatty liver |
| title_full_unstemmed | Histogram-based quantitative grading on ultrasonographic images of a fatty liver |
| title_short | Histogram-based quantitative grading on ultrasonographic images of a fatty liver |
| title_sort | histogram based quantitative grading on ultrasonographic images of a fatty liver |
| topic | fatty liver liver fat level ultrasound image processing weighted histogram matlab gui |
| url | https://dergipark.org.tr/tr/download/article-file/1140123 |
| work_keys_str_mv | AT seviltoprak histogrambasedquantitativegradingonultrasonographicimagesofafattyliver AT omerkaral histogrambasedquantitativegradingonultrasonographicimagesofafattyliver |