More Accurate and Less Noisy Spectral Deconvolution Strategy using Photon Counting Detectors

摘要

Tomographic reconstruction based on photon counting detectors is vulnerable to the spectral distortion induced by the non-ideal detector response. To improve the quantitative property of the reconstructed images, correction or compensation for the response should be carried out. A novel dual-update spectral deconvolution strategy based on EM algorithm is proposed in this article. The proposed method will update the deconvolution spectral counts as well as the detector response matrix iteratively to eliminate the possible bias induced by the approximation of detector response matrix. Numerical simulation and experimental verification illustrated that the proposed method could give us more accurate and less noisy reconstruction images.