
Virtual Monochromatic Image Quality from Dual-Layer Dual-Energy Computed Tomography for Detecting Brain Tumors
Author(s) -
Shota Tanoue,
Takeshi Nakaura,
Yasunori Nagayama,
Hiroyuki Uetani,
Osamu Ikeda,
Yasuyuki Yamashita
Publication year - 2021
Publication title -
korean journal of radiology/korean journal of radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.08
H-Index - 57
eISSN - 2005-8330
pISSN - 1229-6929
DOI - 10.3348/kjr.2020.0677
Subject(s) - medicine , nuclear medicine , monochromatic color , contrast (vision) , glioma , dual layer , image quality , radiology , physics , computer science , artificial intelligence , image (mathematics) , materials science , layer (electronics) , optics , cancer research , composite material
To evaluate the usefulness of virtual monochromatic images (VMIs) obtained using dual-layer dual-energy CT (DL-DECT) for evaluating brain tumors.