Usefulness of T2-Weighted Images with Deep-Learning-Based Reconstruction in Nasal Cartilage.

Yufan Gao Weiyin Vivian LiuLiang LiChangsheng LiuYunfei Zha

Published in: Diagnostics (Basel, Switzerland) (2023)

Two-dimensional equivalent-thin-slice T1- and T2-weighted images using DLR showed better image quality and shorter scan time than 3D FSPGR and conventional construction images in nasal cartilages. The anatomical details were preserved without losing clinical performance on diagnosis and prognosis, especially for pre-rhinoplasty planning.

Keyphrases

deep learning
image quality
convolutional neural network
computed tomography
artificial intelligence
magnetic resonance
optical coherence tomography
contrast enhanced
machine learning
dual energy
network analysis
chronic rhinosinusitis
magnetic resonance imaging
extracellular matrix