Quantitative and qualitative assessments of deep learning image reconstruction in low-keV virtual monoenergetic dual-energy CT.

Jack Junchi XuLars LönnEsben Budtz-JørgensenKristoffer L HansenPeter S Ulriksen

Published in: European radiology (2022)

• DLIR enables 40 keV as the routine low-keV VM reconstruction. • DLIR significantly reduced image noise compared to ASIR-V, across a wide range of keV levels in VM DECT images. • In low-keV VM reconstructions, improvements in image quality using DLIR were most evident and consistent in 1-mm sliced images.

Keyphrases

dual energy
image quality
deep learning
computed tomography
convolutional neural network
artificial intelligence
contrast enhanced
positron emission tomography
machine learning
systematic review
clinical practice
optical coherence tomography
high resolution
mass spectrometry