Computer-Aided Diagnosis

Segmentation of breast masses on dedicated breast computed tomography and three-dimensional breast ultrasound images

[+] Author Affiliations
Hsien-Chi Kuo

University of Chicago, Department of Radiology and Committee on Medical Physics, 5841 S. Maryland Avenue MC2026, Chicago, Illinois 60637

University of Illinois at Chicago, Department of Bioengineering, 851 S. Morgan Street, Chicago, Illinois 60607

Maryellen L. Giger

University of Chicago, Department of Radiology and Committee on Medical Physics, 5841 S. Maryland Avenue MC2026, Chicago, Illinois 60637

Ingrid Reiser

University of Chicago, Department of Radiology and Committee on Medical Physics, 5841 S. Maryland Avenue MC2026, Chicago, Illinois 60637

Karen Drukker

University of Chicago, Department of Radiology and Committee on Medical Physics, 5841 S. Maryland Avenue MC2026, Chicago, Illinois 60637

John M. Boone

University of California at Davis, Department of Radiology, 4860 Y Street, Suite 3100, Sacramento, California 95817

Karen K. Lindfors

University of California at Davis, Department of Radiology, 4860 Y Street, Suite 3100, Sacramento, California 95817

Kai Yang

University of California at Davis, Department of Radiology, 4860 Y Street, Suite 3100, Sacramento, California 95817

Alexandra Edwards, Charlene A. Sennett

University of Chicago, Department of Radiology and Committee on Medical Physics, 5841 S. Maryland Avenue MC2026, Chicago, Illinois 60637

J. Med. Imag. 1(1), 014501 (Apr 23, 2014). doi:10.1117/1.JMI.1.1.014501
History: Received November 5, 2013; Revised January 3, 2014; Accepted January 7, 2014
Text Size: A A A

Abstract.  We present and evaluate a method for the three-dimensional (3-D) segmentation of breast masses on dedicated breast computed tomography (bCT) and automated 3-D breast ultrasound images. The segmentation method, refined from our previous segmentation method for masses on contrast-enhanced bCT, includes two steps: (1) initial contour estimation and (2) active contour-based segmentation to further evolve and refine the initial contour by adding a local energy term to the level-set equation. Segmentation performance was assessed in terms of Dice coefficients (DICE) for 129 lesions on noncontrast bCT, 38 lesions on contrast-enhanced bCT, and 98 lesions on 3-D breast ultrasound (US) images. For bCT, DICE values of 0.82 and 0.80 were obtained on contrast-enhanced and noncontrast images, respectively. The improvement in segmentation performance with respect to that of our previous method was statistically significant (p=0.002). Moreover, segmentation appeared robust with respect to the presence of glandular tissue. For 3-D breast US, the DICE value was 0.71. Hence, our method obtained promising results for both 3-D imaging modalities, laying a solid foundation for further quantitative image analysis and potential future expansion to other 3-D imaging modalities.

Figures in this Article
© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Hsien-Chi Kuo ; Maryellen L. Giger ; Ingrid Reiser ; Karen Drukker ; John M. Boone, et al.
"Segmentation of breast masses on dedicated breast computed tomography and three-dimensional breast ultrasound images", J. Med. Imag. 1(1), 014501 (Apr 23, 2014). ; http://dx.doi.org/10.1117/1.JMI.1.1.014501


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.