Published January 2018
| Version v1
Journal article
Noise characteristics of virtual monoenergetic images from a novel detector-based spectral CT scanner
- 1. Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH (United States)
- 2. Philips Healthcare, Cleveland, OH (United States)
- 3. Cardiothoracic Imaging, Department of Radiology, UT Southwestern Medical Center, Dallas, TX (United States)
Description
Highlights: • High noise in virtual monoenergetic images (VMI) is a consequence of the steps used in image generation. • The dual layer detector-based spectral scanner uses anti-correlated noise reduction in the reconstruction process. • VMI obtained from detector-based spectral CT have low noise across the entire energy spectrum. • The SNR and CNR of these VMI are significantly improved compared to conventional polyenergetic images. • VMI can be used for increasing vascular contrast, improving lesion conspicuity and decreasing artifacts. - Abstract: AimTo evaluate the noise characteristics of virtual monoenergetic images (VMI) obtained from a recently introduced dual-layer detector-based spectral CT (SDCT), both in a phantom and patients.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.ejrad.2017.11.005Additional details
Identifiers
- DOI
- 10.1016/j.ejrad.2017.11.005;
- PII
- S0720048X17304941;
Publishing Information
- Journal Title
- European Journal of Radiology
- Journal Volume
- 98
- Journal Page Range
- p. 118-125
- ISSN
- 0720-048X
- CODEN
- EJRADR
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 50068995
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- BLOOD VESSELS; CONTRAST MEDIA; ENERGY SPECTRA; IMAGE PROCESSING; NOISE; PHANTOMS
- Descriptors DEC
- BODY; CARDIOVASCULAR SYSTEM; MOCKUP; ORGANS; PROCESSING; SPECTRA; STRUCTURAL MODELS
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.