Noise reduction in dual-energy computed tomography virtual monoenergetic imaging.

ABSTRACT:

Purpose

Virtual monoenergetic images (VMIs) derived from dual-energy computed tomography (DECT) have been explored for several clinical applications in recent years. However, VMIs at low and high keVs have high levels of noise. The aim of this study was to reduce image noise in VMIs by using a two-step noise reduction technique.

Methods

VMI was first denoised using a modified highly constrained backprojection (HYPR) method. After the first-step denoising, a general-threshold filtering method was performed. Two sets of anthropomorphic phantoms were scanned with a clinical dual-source DECT system. DECT data (80/140Sn kV) were reconstructed as VMI series at 12 different energy levels (range, 40-150 keV, interval, 10 keV). For comparison, the averaged VMIs obtained from 10 repea

SUBMITTER: Liu CK 

PROVIDER: S-EPMC6753738 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature