A robust index for metal artifact quantification in computed tomography.

ABSTRACT:

Background

Objective assessment of metal artifact strength and the effectiveness of metal artifact reduction algorithms in computed tomography requires a quantitative metric. Metrics described in the literature are typically employed to compare the artifact strength in images reconstructed from the same raw data, but their robustness against varying scan conditions and repeated scans over time as it occurs in periodic quality assurance has not been investigated.

Purpose

A new robust metric for quantifying metal artifacts in computed-tomography images is proposed and compared to other commonly used metrics.

Methods

The proposed artifact metric is based on the location parameter of the Gumbel distribution, described previously in the literature, but normalized to the lo

SUBMITTER: Cammin J 

PROVIDER: S-EPMC11302826 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature