Physical density estimations of single- and dual-energy CT using material-based forward projection algorithm: a simulation study.

ABSTRACT:

Objectives

This study aims to evaluate the accuracy of physical density prediction in single-energy CT (SECT) and dual-energy CT (DECT) by adapting a fully simulation-based method using a material-based forward projection algorithm (MBFPA).

Methods

We used biological tissues referenced in ICRU Report 44 and tissue substitutes to prepare three different types of phantoms for calibrating the Hounsfield unit (HU)-to-density curves. Sinograms were first virtually generated by the MBFPA with four representative energy spectra (i.e. 80 kVp, 100 kVp, 120 kVp, and 6 MVp) and then reconstructed to form realistic CT images by adding statistical noise. The HU-to-density curves in each spectrum and their pairwise combinations were derived from the CT images. The accuracy of these

SUBMITTER: Li KW 

PROVIDER: S-EPMC8631039 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature