Harmonization of chest CT scans for different doses and reconstruction methods.

ABSTRACT:

Purpose

To develop and validate a computed tomography (CT) harmonization technique by combining noise-stabilization and autocalibration methodologies to provide reliable densitometry measurements in heterogeneous acquisition protocols.

Methods

We propose to reduce the effects of spatially variant noise such as nonuniform patterns of noise and biases. The method combines the statistical characterization of the signal-to-noise relationship in the CT image intensities, which allows us to estimate both the signal and spatially variant variance of noise, with an autocalibration technique that reduces the nonuniform biases caused by noise and reconstruction techniques. The method is firstly validated with anthropomorphic synthetic images that simulate CT acquisitions with variable

SUBMITTER: Vegas-Sanchez-Ferrero G 

PROVIDER: S-EPMC7251983 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature