Automated web-based software for CT quality control testing of low-contrast detectability using model observers

Zhongxing Zhou; Jarod Wellinghoff; Mingdong Fan; Scott Hsieh; David Holmes III; Cynthia H. McCollough; Lifeng Yu

doi:10.1117/12.3008777

3 April 2024 Automated web-based software for CT quality control testing of low-contrast detectability using model observers

Zhongxing Zhou, Jarod Wellinghoff, Mingdong Fan, Scott Hsieh, David Holmes III, Cynthia H. McCollough, Lifeng Yu

Author Affiliations +

Proceedings Volume 12925, Medical Imaging 2024: Physics of Medical Imaging; 129252J (2024) https://doi.org/10.1117/12.3008777
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

The Channelized Hotelling observer (CHO) is well correlated with human observer performance in many CT detection/classification tasks but has not been widely adopted in routine CT quality control and performance evaluation, mainly because of the lack of an easily available, efficient, and validated software tool. We developed a highly automated solution–CT image quality evaluation and Protocol Optimization (CTPro), a web-based software platform that includes CHO and other traditional image quality assessment tools such as modulation transfer function and noise power spectrum. This tool can allow easy access to the CHO for both the research and clinical community and enable efficient, accurate image quality evaluation. An example of its application to evaluating the low-contrast performance of a photon-counting-detector CT with varying scan modes, image types and reconstruction methods was demonstrated using this web platform.

Citation Download Citation

Zhongxing Zhou, Jarod Wellinghoff, Mingdong Fan, Scott Hsieh, David Holmes III, Cynthia H. McCollough, and Lifeng Yu "Automated web-based software for CT quality control testing of low-contrast detectability using model observers", Proc. SPIE 12925, Medical Imaging 2024: Physics of Medical Imaging, 129252J (3 April 2024); https://doi.org/10.1117/12.3008777

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