Hybrid EID algorithm for PCD/EID-CT systems

Katsuyuki Taguchi; George S. K. Fung; Qiulin Tang; Jochen Cammin

doi:10.1117/12.2008040

19 March 2013 Hybrid EID algorithm for PCD/EID-CT systems

Katsuyuki Taguchi, George S. K. Fung, Qiulin Tang, Jochen Cammin

Proceedings Volume 8668, Medical Imaging 2013: Physics of Medical Imaging; 86682M (2013) https://doi.org/10.1117/12.2008040
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

One of the major obstacles toward photon counting detector (PCD)-based clinical x-ray CT systems is the large count rates, because when operated under too intense x-rays, pulse pileup effects (PPEs) due to coincident photons distort the spectrum recorded by PCDs. In this paper we discuss a strategy using a hybrid detector, which consists of PCDs for the central part of the detector [which corresponds to a central small field-of-view (FOV) of the object] and energy integrating detectors (EIDs) for the peripheral part, to achieve the following three goals: 1) to minimize the PPEs; 2) to produce accurate spectral images for the small FOV; and 3) to provide conventional CT images for the entire FOV. The third goal requires a solution to exterior problem, because the central part of EID data is missing. The spectral data obtained by PCDs carry richer information than the intensity data obtained by EIDs; however, performing a simple weighted summation of counts from multi-energy windows of PCD would not produce realistic EID data, as the spectrum recorded by PCD could be skewed by spectral response effects (SREs) and PPEs. We propose a unique approach for the hybrid PCD/EID-CT system in this paper.

Citation Download Citation

Katsuyuki Taguchi, George S. K. Fung, Qiulin Tang, and Jochen Cammin "Hybrid EID algorithm for PCD/EID-CT systems", Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86682M (19 March 2013); https://doi.org/10.1117/12.2008040

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KEYWORDS

Sensors

X-rays

X-ray computed tomography

X-ray detectors

Strontium

Computed tomography

Medical imaging

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