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Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D)

As an emerging modality for whole breast imaging, ultrasound tomography (UST), has been adopted for diagnostic purposes. Efficient segmentation of an entire breast in UST images plays an important role in quantitative tissue analysis and cancer diagnosis, while major existing methods suffer from con...

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Autores principales: Yu, Shaode, Wu, Shibin, Zhuang, Ling, Wei, Xinhua, Sak, Mark, Neb, Duric, Hu, Jiani, Xie, Yaoqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580039/
https://www.ncbi.nlm.nih.gov/pubmed/28786946
http://dx.doi.org/10.3390/s17081827
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author Yu, Shaode
Wu, Shibin
Zhuang, Ling
Wei, Xinhua
Sak, Mark
Neb, Duric
Hu, Jiani
Xie, Yaoqin
author_facet Yu, Shaode
Wu, Shibin
Zhuang, Ling
Wei, Xinhua
Sak, Mark
Neb, Duric
Hu, Jiani
Xie, Yaoqin
author_sort Yu, Shaode
collection PubMed
description As an emerging modality for whole breast imaging, ultrasound tomography (UST), has been adopted for diagnostic purposes. Efficient segmentation of an entire breast in UST images plays an important role in quantitative tissue analysis and cancer diagnosis, while major existing methods suffer from considerable time consumption and intensive user interaction. This paper explores three-dimensional GrabCut (GC3D) for breast isolation in thirty reflection (B-mode) UST volumetric images. The algorithm can be conveniently initialized by localizing points to form a polygon, which covers the potential breast region. Moreover, two other variations of GrabCut and an active contour method were compared. Algorithm performance was evaluated from volume overlap ratios ([Formula: see text] , target overlap; [Formula: see text] , mean overlap; [Formula: see text] , false positive; [Formula: see text] , false negative) and time consumption. Experimental results indicate that GC3D considerably reduced the work load and achieved good performance ([Formula: see text] = 0.84; [Formula: see text] = 0.91; [Formula: see text] = 0.006; [Formula: see text] = 0.16) within an average of 1.2 min per volume. Furthermore, GC3D is not only user friendly, but also robust to various inputs, suggesting its great potential to facilitate clinical applications during whole-breast UST imaging. In the near future, the implemented GC3D can be easily automated to tackle B-mode UST volumetric images acquired from the updated imaging system.
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spelling pubmed-55800392017-09-06 Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D) Yu, Shaode Wu, Shibin Zhuang, Ling Wei, Xinhua Sak, Mark Neb, Duric Hu, Jiani Xie, Yaoqin Sensors (Basel) Article As an emerging modality for whole breast imaging, ultrasound tomography (UST), has been adopted for diagnostic purposes. Efficient segmentation of an entire breast in UST images plays an important role in quantitative tissue analysis and cancer diagnosis, while major existing methods suffer from considerable time consumption and intensive user interaction. This paper explores three-dimensional GrabCut (GC3D) for breast isolation in thirty reflection (B-mode) UST volumetric images. The algorithm can be conveniently initialized by localizing points to form a polygon, which covers the potential breast region. Moreover, two other variations of GrabCut and an active contour method were compared. Algorithm performance was evaluated from volume overlap ratios ([Formula: see text] , target overlap; [Formula: see text] , mean overlap; [Formula: see text] , false positive; [Formula: see text] , false negative) and time consumption. Experimental results indicate that GC3D considerably reduced the work load and achieved good performance ([Formula: see text] = 0.84; [Formula: see text] = 0.91; [Formula: see text] = 0.006; [Formula: see text] = 0.16) within an average of 1.2 min per volume. Furthermore, GC3D is not only user friendly, but also robust to various inputs, suggesting its great potential to facilitate clinical applications during whole-breast UST imaging. In the near future, the implemented GC3D can be easily automated to tackle B-mode UST volumetric images acquired from the updated imaging system. MDPI 2017-08-08 /pmc/articles/PMC5580039/ /pubmed/28786946 http://dx.doi.org/10.3390/s17081827 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yu, Shaode
Wu, Shibin
Zhuang, Ling
Wei, Xinhua
Sak, Mark
Neb, Duric
Hu, Jiani
Xie, Yaoqin
Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D)
title Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D)
title_full Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D)
title_fullStr Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D)
title_full_unstemmed Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D)
title_short Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D)
title_sort efficient segmentation of a breast in b-mode ultrasound tomography using three-dimensional grabcut (gc3d)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580039/
https://www.ncbi.nlm.nih.gov/pubmed/28786946
http://dx.doi.org/10.3390/s17081827
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