Published December 2019
| Version v1
Journal article
Association between true non-contrast and virtual non-contrast vertebral bone CT attenuation values determined using dual-layer spectral detector CT
Creators
- 1. Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, INF 110, 69120, Heidelberg (Germany)
- 2. Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, 200032 (China)
- 3. Translational Lung Research Center Heidelberg, Member of the German Center for Lung Research, Heidelberg University Hospital, INF 156, 69120, Heidelberg (Germany)
Description
Highlights: • There is a linear relationship between TNC and VNC CT attenuation values of L1. • VNC CT attenuation values of L1 can be used to predict TNC CT attenuation values. • VNC images are a feasible option for osteoporosis screening using SDCT acquisitions. - Abstract: PurposeTo investigate the association of vertebral CT attenuation between virtual non-contrast (VNC) and true non-contrast (TNC) images and to evaluate if VNC vertebral CT attenuation could be used for phantom-less osteoporosis detection in dual-layer spectral-detector CT (SDCT).
Availability note (English)
Available from http://dx.doi.org/10.1016/j.ejrad.2019.108740Additional details
Identifiers
- DOI
- 10.1016/j.ejrad.2019.108740;
- PII
- S0720048X19303900;
Publishing Information
- Journal Title
- European Journal of Radiology
- Journal Volume
- 121
- Journal Page Range
- p. 108740
- ISSN
- 0720-048X
- CODEN
- EJRADR
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51013543
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ATTENUATION; COMPUTERIZED TOMOGRAPHY; DETECTION; IMAGES; OSTEOPOROSIS; PHANTOMS; RADIATION DETECTORS; SKELETON
- Descriptors DEC
- BODY; DIAGNOSTIC TECHNIQUES; DISEASES; MEASURING INSTRUMENTS; MOCKUP; ORGANS; SKELETAL DISEASES; STRUCTURAL MODELS; TOMOGRAPHY
Optional Information
- Notes
- © 2019 Elsevier B.V. All rights reserved.