Segmentation-Free Statistical Image Reconstruction for Polyenergetic X-Ray Computed Tomography

This paper describes a statistical iterative reconstruction method for X-ray CT based on a physical model that accounts for the polyenergetic X-ray source spectrum and the measurement nonlinearities caused by energy-dependent attenuation. The algorithm accommodates mixtures of tissues with known mass attenuation coefficients but unknown densities. We formulate a penalized-likelihood approach for this polyenergetic model based on Poisson statistics.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/85881/1/Fessler173.pd