Physics of Medical Imaging

Accuracy assessment and characterization of x-ray coded aperture coherent scatter spectral imaging for breast cancer classification

[+] Author Affiliations
Manu N. Lakshmanan

National Institutes of Health Clinical Center, Department of Radiology and Imaging Sciences, Bethesda, Maryland, United States

Joel A. Greenberg

Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina, United States

Ehsan Samei

Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina, United States

Duke University Medical Center, Ravin Advanced Imaging Labs, Durham, North Carolina, United States

Duke University, Department of Physics, Durham, North Carolina, United States

Anuj J. Kapadia

Duke University Medical Center, Ravin Advanced Imaging Labs, Durham, North Carolina, United States

Duke University, Department of Physics, Durham, North Carolina, United States

J. Med. Imag. 4(1), 013505 (Mar 07, 2017). doi:10.1117/1.JMI.4.1.013505
History: Received July 30, 2016; Accepted February 21, 2017
Text Size: A A A

Abstract.  Although transmission-based x-ray imaging is the most commonly used imaging approach for breast cancer detection, it exhibits false negative rates higher than 15%. To improve cancer detection accuracy, x-ray coherent scatter computed tomography (CSCT) has been explored to potentially detect cancer with greater consistency. However, the 10-min scan duration of CSCT limits its possible clinical applications. The coded aperture coherent scatter spectral imaging (CACSSI) technique has been shown to reduce scan time through enabling single-angle imaging while providing high detection accuracy. Here, we use Monte Carlo simulations to test analytical optimization studies of the CACSSI technique, specifically for detecting cancer in ex vivo breast samples. An anthropomorphic breast tissue phantom was modeled, a CACSSI imaging system was virtually simulated to image the phantom, a diagnostic voxel classification algorithm was applied to all reconstructed voxels in the phantom, and receiver-operator characteristics analysis of the voxel classification was used to evaluate and characterize the imaging system for a range of parameters that have been optimized in a prior analytical study. The results indicate that CACSSI is able to identify the distribution of cancerous and healthy tissues (i.e., fibroglandular, adipose, or a mix of the two) in tissue samples with a cancerous voxel identification area-under-the-curve of 0.94 through a scan lasting less than 10 s per slice. These results show that coded aperture scatter imaging has the potential to provide scatter images that automatically differentiate cancerous and healthy tissue within ex vivo samples. Furthermore, the results indicate potential CACSSI imaging system configurations for implementation in subsequent imaging development studies.

Figures in this Article
© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Manu N. Lakshmanan ; Joel A. Greenberg ; Ehsan Samei and Anuj J. Kapadia
"Accuracy assessment and characterization of x-ray coded aperture coherent scatter spectral imaging for breast cancer classification", J. Med. Imag. 4(1), 013505 (Mar 07, 2017). ; http://dx.doi.org/10.1117/1.JMI.4.1.013505


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.