Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D)
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
Department of Oncology, the Karmanos Cancer Institute, Wayne State University, Detroit, MI 48201, USA
Department of Radiology, Guangzhou first Hospital, Guangzhou Medical University, Guangzhou 510180, China
Delphinus Medical Technologies, Inc., Plymouth, Detroit, MI 46701, USA
Department of Radiology, Wayne State University, Detroit, MI 48201, USA
Authors to whom correspondence should be addressed.
Received: 28 June 2017 / Revised: 1 August 2017 / Accepted: 4 August 2017 / Published: 8 August 2017
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 (
, target overlap;
, mean overlap;
, false positive;
, false negative) and time consumption. Experimental results indicate that GC3D considerably reduced the work load and achieved good performance (
= 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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MDPI and ACS Style
Yu, S.; Wu, S.; Zhuang, L.; Wei, X.; Sak, M.; Neb, D.; Hu, J.; Xie, Y. Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D). Sensors 2017, 17, 1827.
Yu S, Wu S, Zhuang L, Wei X, Sak M, Neb D, Hu J, Xie Y. Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D). Sensors. 2017; 17(8):1827.
Yu, Shaode; Wu, Shibin; Zhuang, Ling; Wei, Xinhua; Sak, Mark; Neb, Duric; Hu, Jiani; Xie, Yaoqin. 2017. "Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D)." Sensors 17, no. 8: 1827.
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