Evaluation of the impact of a novel denoising algorithm on image quality in dual-energy abdominal CT of obese patients.

ABSTRACT:

Objectives

Evaluate a novel algorithm for noise reduction in obese patients using dual-source dual-energy (DE) CT imaging.

Methods

Seventy-nine patients with contrast-enhanced abdominal imaging (54 women; age: 58 ± 14 years; BMI: 39 ± 5 kg/m², range: 35-62 kg/m²) from seven DECT (SOMATOM Flash or Force) were retrospectively included (01/2019-12/2020). Image domain data were reconstructed with the standard clinical algorithm (ADMIRE/SAFIRE 2), and denoised with a comparison (ME-NLM) and a test algorithm (rank-sparse kernel regression). Contrast-to-noise ratio (CNR) was calculated. Four blinded readers evaluated the same original and denoised images (0 (worst)-100 (best)) in randomized order for perceived image noise, quality, and their comfort making a d

SUBMITTER: Schwartz FR 

PROVIDER: S-EPMC10902821 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature