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The Effects Of Extending The Spectral Information Acquired By A Photon-Counting Detector For Spectral Ct, Taly Gilat Schmidt, Kevin C. Zimmerman, Emil Y. Sidky
The Effects Of Extending The Spectral Information Acquired By A Photon-Counting Detector For Spectral Ct, Taly Gilat Schmidt, Kevin C. Zimmerman, Emil Y. Sidky
Biomedical Engineering Faculty Research and Publications
Photon-counting x-ray detectors with pulse-height analysis provide spectral information that may improve material decomposition and contrast-to-noise ratio (CNR) in CT images. The number of energy measurements that can be acquired simultaneously on a detector pixel is equal to the number of comparator channels. Some spectral CT designs have a limited number of comparator channels, due to the complexity of readout electronics. The spectral information could be extended by changing the comparator threshold levels over time, sub pixels, or view angle. However, acquiring more energy measurements than comparator channels increases the noise and/or dose, due to differences in noise correlations across …
Experimental Comparison Of Empirical Material Decomposition Methods For Spectral Ct, Kevin C. Zimmerman, Taly Gilat Schmidt
Experimental Comparison Of Empirical Material Decomposition Methods For Spectral Ct, Kevin C. Zimmerman, Taly Gilat Schmidt
Biomedical Engineering Faculty Research and Publications
Material composition can be estimated from spectral information acquired using photon counting x-ray detectors with pulse height analysis. Non-ideal effects in photon counting x-ray detectors such as charge-sharing, k-escape, and pulse-pileup distort the detected spectrum, which can cause material decomposition errors. This work compared the performance of two empirical decomposition methods: a neural network estimator and a linearized maximum likelihood estimator with correction (A-table method). The two investigated methods differ in how they model the nonlinear relationship between the spectral measurements and material decomposition estimates. The bias and standard deviation of material decomposition estimates were compared for the two methods, …