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Optical Engineering

Segmentation of ultrasound breast images based on a neutrosophic method
Author(s): Ming Zhang; Ling Zhang; Heng-Da Cheng
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Paper Abstract

Breast cancer is one of the leading cancers of women. Ultrasound is often used for breast cancer diagnosis because it is harmless, portable, and low-cost. However, the segmentation of breast ultrasound (BUS) images is a difficult task due to their low contrast and speckle noise. Neutrosophy studies the origin, nature, and scope of neutralities and their interactions with different ideational spectra. It is a new philosophy to extend fuzzy logic and is the basis of neutrosophic logic, neutrosophic probability theory, neutrosophic set theory, and neutrosophic statistics. In this paper, we employ neutrosophy and develop a fully automatic algorithm for BUS image segmentation. By using neutrosophy, we integrate two conflicting opinions about speckle in ultrasound image: speckle is noise and speckle includes pattern information. The experiments demonstrate that the proposed approach is accurate, effective, and robust.

Paper Details

Date Published: 1 November 2010
PDF: 12 pages
Opt. Eng. 49(11) 117001 doi: 10.1117/1.3505854
Published in: Optical Engineering Volume 49, Issue 11
Show Author Affiliations
Ming Zhang, Utah State Univ. (United States)
Ling Zhang, Shandong Univ. (China)
Heng-Da Cheng, Utah State Univ. (United States)

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