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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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2017-08, Vol.17 (8), p.1827
Main Authors: Yu, Shaode, Wu, Shibin, Zhuang, Ling, Wei, Xinhua, Sak, Mark, Neb, Duric, Hu, Jiani, Xie, Yaoqin
Format: Article
Language:English
Subjects:
Breast
Diagnostic systems
Image acquisition
image segmentation
Imaging
Medical imaging
Tomography
Ultrasonic imaging
ultrasound tomography
Upgrading
whole breast imaging
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Summary: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 ( T O , target overlap; M O , mean overlap; F P , false positive; F N , false negative) and time consumption. Experimental results indicate that GC3D considerably reduced the work load and achieved good performance ( T O = 0.84; M O = 0.91; F P = 0.006; F N = 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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s17081827