QR Code

The impact of a novel deep learning reconstruction algorithm on image quality in ultralow-dose CT: a quantitative phantom study

Abstract Objective The aim of this study is to evaluate the performance of a novel deep learning image reconstruction (DLIR) algorithm in noise reduction, contrast-to-noise ratio (CNR), and low iodine concentration detection for ultralow-dose computed tomography (CT) imaging. Methods A nine-hole pha...

Full description

Saved in:
Main Authors: Tong Su, Yongjun Jia, Yun Shen, Huairong Zhang
Format: Artigo
Language:Inglês
Published: SpringerOpen 2026-06-01
Series:European Radiology Experimental
Subjects:
Algorithms
Contrast media
Deep learning
Phantoms (imaging)
Radiation dosage
Tomography
Online Access:https://doi.org/10.1186/s41747-026-00751-w
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items