Application of deep learning reconstruction at prone position chest scanning of early interstitial lung disease

Application of deep learning reconstruction at prone position chest scanning of early interstitial lung disease

Abstract Aim Timely intervention of interstitial lung disease (ILD) was promising for attenuating the lung function decline and improving clinical outcomes. The prone position HRCT is essential for early diagnosis of ILD, but limited by its high radiation exposure. This study was aimed to explore wh...

Full description

Saved in:
Bibliographic Details
Main Authors: Ruijie Zhao, Yun Wang, Jiaru Wang, Zixing Wang, Ran Xiao, Ying Ming, Sirong Piao, Jinhua Wang, Lan Song, Yinghao Xu, Zhuangfei Ma, Peilin Fan, Xin Sui, Wei Song
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Medical Imaging
Subjects:
Deep learning reconstruction
Interstitial lung disease
Prone position
Low dose
Image quality
Online Access:https://doi.org/10.1186/s12880-025-01871-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items