An analytical approach for the simulation of realistic low-dose fluoroscopic images
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-019-01912-6
Abstract: PurposeThe quality of X-ray images plays an important role in computer-assisted interventions. Although learning-based denoising techniques have been shown to be successful in improving the image quality, they often rely on pairs of associated low-… read more here.
Keywords: image; low dose; dose images; simulation ... See more keywords
Reduction of Gadolinium-Based Contrast Agents in MRI Using Convolutional Neural Networks and Different Input Protocols
Sign Up to like & getrecommendations! Published in 2023 at "Investigative Radiology"
DOI: 10.1097/rli.0000000000000955
Abstract: Objectives The purpose of this study was to implement a state-of-the-art convolutional neural network used to synthesize artificial T1-weighted (T1w) full-dose images from corresponding noncontrast and low-dose images (using various settings of input sequences) and… read more here.
Keywords: full dose; contrast; dose; dose images ... See more keywords
An efficient 3D reconstruction method based on WT-TV denoising for low-dose CT images
Sign Up to like & getrecommendations! Published in 2023 at "Technology and Health Care"
DOI: 10.3233/thc-236040
Abstract: BACKGROUND: In order to reduce the impact of CT radiation, low-dose CT is often used, but low-dose CT will bring more noise, affecting image quality and subsequent 3D reconstruction results. OBJECTIVE: The study presents a… read more here.
Keywords: method based; reconstruction; reconstruction method; dose images ... See more keywords