A flat-field correction method for photon-counting-detector-based micro-CT

So E. Park; Jae G. Kim; M. A. A. Hegazy; Min H. Cho; Soo Y. Lee

doi:10.1117/12.2043317

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19 March 2014 A flat-field correction method for photon-counting-detector-based micro-CT

So E. Park, Jae G. Kim, M. A. A. Hegazy, Min H. Cho, Soo Y. Lee

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Proceedings Volume 9033, Medical Imaging 2014: Physics of Medical Imaging; 90335N (2014) https://doi.org/10.1117/12.2043317
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

As low-dose computed tomography becomes a hot issue in the field of clinical x-ray imaging, photon counting detectors have drawn great attention as alternative x-ray image sensors. Even though photon-counting image sensors have several advantages over the integration-type sensors, such as low noise and high DQE, they are known to be more sensitive to the various experimental conditions like temperature and electric drift. Particularly, time-varying detector response during the CT scan is troublesome in photon-counting-detector-based CTs. To overcome the time-varying behavior of the image sensor during the CT scan, we developed a flat-field correction method together with an automated scanning mechanism. We acquired the flat-field images and projection data every view alternatively. When we took the flat-field image, we moved down the imaging sample away from the field-of-view with aid of computer controlled linear positioning stage. Then, we corrected the flat-field effects view-by-view with the flat-field image taken at given view. With a CdTe photon-counting image sensor (XRI-UNO, IMATEK), we took CT images of small bugs. The CT images reconstructed with the proposed flat-field correction method were much superior to the ones reconstructed with the conventional flat-field correction method.

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So E. Park, Jae G. Kim, M. A. A. Hegazy, Min H. Cho, and Soo Y. Lee "A flat-field correction method for photon-counting-detector-based micro-CT", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90335N (19 March 2014); https://doi.org/10.1117/12.2043317

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