Experimental implementation of a joint statistical image reconstruction method for proton stopping power mapping from dual-energy CT data.

ABSTRACT:

Purpose

To experimentally commission a dual-energy CT (DECT) joint statistical image reconstruction (JSIR) method, which is built on a linear basis vector model (BVM) of material characterization, for proton stopping power ratio (SPR) estimation.

Methods

The JSIR-BVM method builds on the relationship between the energy-dependent photon attenuation coefficients and the proton stopping power via a pair of BVM component weights. The two BVM component images are simultaneously reconstructed from the acquired DECT sinograms and then used to predict the electron density and mean excitation energy (I-value), which are required by the Bethe equation for SPR computation. A post-reconstruction image-based DECT method, which utilizes the two separate CT images reconstructed via the sca

SUBMITTER: Zhang S 

PROVIDER: S-EPMC6519926 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature