Accurate segmentation of breast tumors in ultrasound images using a custom-made active contour model and signal-to-noise ratio variations

Mohammad I. Daoud, Mohammad M. Baba, Falah Awwad, Mahasen Al-Najjar, Emad S. Tarawneh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Outlining tumors in ultrasound B-mode images is an important process in many diagnostic procedures, but manual tumor segmentation is usually a time-consuming and challenging task. This paper presents a custom-made active contour model that is specifically designed for segmenting tumors in ultrasound images. The algorithm starts by drawing a circular contour around a manually selected point inside the tumor. The vertices of the circular contour are iteratively moved from the interior of the tumor to the tumor boundary. The motion of the vertices is controlled using an ultrasound-based statistical parameter, called the envelope signal-to-noise ratio (SNR), that is sensitive to variations in tissue anatomy. The proposed algorithm has been used to outline breast tumors in 10 ultrasound B-mode images. When compared to tumor outlines delineated by a human expert, the outlines obtained using the proposed algorithm achieved sensitivity values as high as 96.98%. The proposed algorithm provides a simple and accurate method for tumor segmentation in ultrasound images.

Original languageEnglish
Title of host publication8th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2012
Pages137-141
Number of pages5
DOIs
Publication statusPublished - Dec 1 2012
Event8th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2012 - Sorrento, Italy
Duration: Nov 25 2012Nov 29 2012

Publication series

Name8th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2012r

Other

Other8th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2012
Country/TerritoryItaly
CitySorrento
Period11/25/1211/29/12

Keywords

  • Active contour models
  • Cancer detection
  • Computer-aided diagnosis tools
  • Signal-to-noise ratio
  • Tumor segmentation
  • Ultrasound imaging

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Signal Processing

Fingerprint

Dive into the research topics of 'Accurate segmentation of breast tumors in ultrasound images using a custom-made active contour model and signal-to-noise ratio variations'. Together they form a unique fingerprint.

Cite this