Next Article in Journal
Detecting Unknown Artificial Urban Surface Materials Based on Spectral Dissimilarity Analysis
Next Article in Special Issue
The Ultrasonic Directional Tidal Breathing Pattern Sensor: Equitable Design Realization Based on Phase Information
Previous Article in Journal
Achieve Location Privacy-Preserving Range Query in Vehicular Sensing
Previous Article in Special Issue
A Frequency-Domain Adaptive Matched Filter for Active Sonar Detection
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(8), 1827; https://doi.org/10.3390/s17081827

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

1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
2
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
3
Department of Oncology, the Karmanos Cancer Institute, Wayne State University, Detroit, MI 48201, USA
4
Department of Radiology, Guangzhou first Hospital, Guangzhou Medical University, Guangzhou 510180, China
5
Delphinus Medical Technologies, Inc., Plymouth, Detroit, MI 46701, USA
6
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
(This article belongs to the Special Issue Acoustic Sensing and Ultrasonic Drug Delivery)
View Full-Text   |   Download PDF [2589 KB, uploaded 8 August 2017]   |  

Abstract

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. View Full-Text
Keywords: ultrasound tomography; whole breast imaging; image segmentation ultrasound tomography; whole breast imaging; image segmentation
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top