Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study

Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study

IntroductionDynamic contrast-enhanced (DCE) MRI has important clinical value for early detection, accurate staging, and therapeutic monitoring of cancers. However, conventional multi-phasic abdominal DCE-MRI has limited temporal resolution and provides qualitative or semi-quantitative assessments of...

Full description

Bibliographic Details
Main Authors: Chaowei Wu, Nan Wang, Srinivas Gaddam, Lixia Wang, Hui Han, Kyunghyun Sung, Anthony G. Christodoulou, Yibin Xie, Stephen Pandol, Debiao Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Radiology
Subjects:
dynamic contrast-enhanced MRI
abdomen
deep learning
quantitative imaging
pharmacokinetic model
Online Access:https://www.frontiersin.org/articles/10.3389/fradi.2023.1168901/full

Internet

https://www.frontiersin.org/articles/10.3389/fradi.2023.1168901/full

Similar Items