Impact of photon-counting-detector-CT derived virtual-monoenergetic-images and iodine-maps on the diagnosis of pleural empyema.

Lisa Jungblut,Frederik Abel,Dominik Nakhostin,Viktor Mergen,Thomas Sartoretti,André Euler,Thomas Frauenfelder,Katharina Martini

Diagnostic and interventional imaging（2022）

引用 12|浏览8

暂无评分

摘要

Low VMI energies lead to a higher diagnostic accuracy and diagnostic confidence in the diagnosis of pleural empyema. Iodine maps help in diagnosing empyema only at high VMI energies.

查看译文

关键词

Chest,Computed tomography,Computer-assisted image interpretation,Empyema,Image processing,Pleura

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要