Image Perception, Observer Performance, and Technology Assessment

Design of a practical model-observer-based image quality assessment method for x-ray computed tomography imaging systems

[+] Author Affiliations
Hsin-Wu Tseng

The University of Arizona, College of Optical Sciences, Tucson, Arizona 85721, United States

CT Engineering, GE Healthcare, Waukesha, Wisconsin 53188, United States

Jiahua Fan

CT Engineering, GE Healthcare, Waukesha, Wisconsin 53188, United States

Matthew A. Kupinski

The University of Arizona, College of Optical Sciences, Tucson, Arizona 85721, United States

J. Med. Imag. 3(3), 035503 (Jul 28, 2016). doi:10.1117/1.JMI.3.3.035503
History: Received January 22, 2016; Accepted July 1, 2016
Text Size: A A A

Abstract.  The use of a channelization mechanism on model observers not only makes mimicking human visual behavior possible, but also reduces the amount of image data needed to estimate the model observer parameters. The channelized Hotelling observer (CHO) and channelized scanning linear observer (CSLO) have recently been used to assess CT image quality for detection tasks and combined detection/estimation tasks, respectively. Although the use of channels substantially reduces the amount of data required to compute image quality, the number of scans required for CT imaging is still not practical for routine use. It is our desire to further reduce the number of scans required to make CHO or CSLO an image quality tool for routine and frequent system validations and evaluations. This work explores different data-reduction schemes and designs an approach that requires only a few CT scans. Three different kinds of approaches are included in this study: a conventional CHO/CSLO technique with a large sample size, a conventional CHO/CSLO technique with fewer samples, and an approach that we will show requires fewer samples to mimic conventional performance with a large sample size. The mean value and standard deviation of areas under ROC/EROC curve were estimated using the well-validated shuffle approach. The results indicate that an 80% data reduction can be achieved without loss of accuracy. This substantial data reduction is a step toward a practical tool for routine-task-based QA/QC CT system assessment.

Figures in this Article
© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Hsin-Wu Tseng ; Jiahua Fan and Matthew A. Kupinski
"Design of a practical model-observer-based image quality assessment method for x-ray computed tomography imaging systems", J. Med. Imag. 3(3), 035503 (Jul 28, 2016). ; http://dx.doi.org/10.1117/1.JMI.3.3.035503


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.