Deep learning model for low-dose CT late iodine enhancement imaging and extracellular volume quantification.
Journal:
European radiology
Published Date:
Dec 20, 2024
Abstract
OBJECTIVES: To develop and validate deep learning (DL)-models that denoise late iodine enhancement (LIE) images and enable accurate extracellular volume (ECV) quantification.
Authors
Keywords
Aged
Computed Tomography Angiography
Contrast Media
Deep Learning
Female
Humans
Iodine
Male
Middle Aged
Myocardial Perfusion Imaging
Radiation Dosage
Radiographic Image Enhancement
Radiographic Image Interpretation, Computer-Assisted
Retrospective Studies
Signal-To-Noise Ratio
Tomography, X-Ray Computed