Skip to main content
padlock icon - secure page this page is secure

Segmenting Masses in Ultrasound Images by Using Seed Based Region Growing and Mathematical Morphology

Buy Article:

$106.51 + tax (Refund Policy)

Ultrasound screening is one of the imaging modalities that can be used in early detection of breast cancer. However, most of the ultrasound images produced artifacts such as attenuation, speckle, shadows, and signal dropout. These artifacts can cause missing boundaries due to the orientation dependence of acquisition. Moreover, the difficulty also occurs as the contrast is frequently low between foreground (areas of interest) and background. Hence, it can give difficulties for a radiologist in interpreting the important information from the image. In order to overcome these problems, a good segmentation technique is required. In this study, Seed Based Region Growing (SBRG) is used as the segmentation method in identifying masses in ultrasound images. The result from SBRG method is enhanced by using Mathematical Morphology technique during post-processing phase to obtain a smooth shape and a clear boundary of masses. Mathematical Morphology involves a theory for the analysis of shape and spatial structures. These methods are tested on 30 ultrasound images confirmed by a radiologist to contain masses. The average percentage area between the methods and the actual area traced by the radiologist is then computed. Experimental results show that the methods have segmented the masses with a percentage difference of 8.46%. This implies that the methods have successfully segmented the masses of ultrasound images with an accuracy of 91.54%.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Masses; Mathematical Morphology; Seed Based Region Growing; Segmentation

Document Type: Research Article

Affiliations: Faculty of Computer and Mathematical Science, University Teknology MARA, Malaysia

Publication date: November 1, 2017

More about this publication?
  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more