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The purpose of this research is to validate the availability of a material decomposition with a photon counting CT. We used a photon counting detector that was able to measure four energy bins. And then, a principal component analysis, least squares method and singular value decomposition method were used for the material decomposition. We conducted some simulations and experiments. The materials used were water, calcium, gold-colloid, and gadolinium. We evaluated the performance of the photon counting CT images in terms of the accuracy of reconstructed linear attenuation coefficients and density values. The results indicated that our detector could measure a material density with satisfactory accuracy using the singular value decomposition method. The results showed that our photon counting CT system is useful for the material decomposition.

In this paper we investigated the performance of some methods for a material decomposition using Monte Carlo simulations. The results of the simulations showed that the accuracy of a singular value decomposition method strongly depended on the amount of eigenvalues. And so we proposed a new material decomposition method for the materials having small eigenvalues such as calcium and iopamidol.