Techniques For Automatic Liver Segmentation In Medical Images of Abdomen

Several areas of science have used Digital Image Processing techniques to extract information, one of these areas of application is Medicine. Radiologists currently use 3D software for the exploitation of digital content in medical images. The method currently used for organ segmentation is manual a...

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Bibliographic Details
Published in:Revista IEEE América Latina 2018-06, Vol.16 (6), p.1801-1808
Main Authors: Rodrigues Silva, Iago Richard, de Araujo Fagundes, Roberta Andrade, Souto Maior Cordeiro de Farias, Thiago
Format: Article
Language:eng ; por
Subjects:
Biomedical imaging
Digital Image Processing
Digital images
Digital imaging
Image processing
Image segmentation
Liver
Liver Segmentation
Manuals
Medical Images
Medical imaging
Morphological Operations
Organs
Software
Three-dimensional displays
Thresholding
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Summary:Several areas of science have used Digital Image Processing techniques to extract information, one of these areas of application is Medicine. Radiologists currently use 3D software for the exploitation of digital content in medical images. The method currently used for organ segmentation is manual and may not be effective for exploring the content present in the images, since manual segmentation of organs requires time and may not produce effective results. This work aims to present three techniques developed for automatic segmentation of the liver from medical images. This organ was selected because of the complexity to create a technique for segmentation of all organs of the human anatomy using the techniques of Digital Image Processing, such as: image smoothing, image segmentation and morphological operations. According to the results of the experiments performed, the three techniques proposed had a good rate of liver segmentation.
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2018.8444402