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Advanced Tissue Characterization and Texture Analysis Using Dual-Energy Computed Tomography
- Source :
- Neuroimaging Clinics of North America. 27:533-546
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- In the last article of this issue, advanced analysis capabilities of DECT is reviewed, including spectral Hounsfield unit attenuation curves, virtual monochromatic images, material decomposition maps, tissue effective Z determination, and other advanced post-processing DECT tools, followed by different methods of analysis of the attenuation curves generated using DECT. The article concludes with exciting future horizons and potential applications, such as the use of the rich quantitative data in dual energy CT scans for texture or radiomic analysis and the use of machine learning methods for generation of prediction models using spectral data.
- Subjects :
- medicine.medical_specialty
business.industry
Attenuation
Digital Enhanced Cordless Telecommunications
Pattern recognition
Dual-Energy Computed Tomography
General Medicine
Tissue characterization
Texture (geology)
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
030220 oncology & carcinogenesis
Hounsfield scale
medicine
Radiology, Nuclear Medicine and imaging
Medical physics
Neurology (clinical)
Dual energy ct
Monochromatic color
Artificial intelligence
business
Subjects
Details
- ISSN :
- 10525149
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Neuroimaging Clinics of North America
- Accession number :
- edsair.doi...........c5007b56e94ac3ecbf9693a0a83ef991
- Full Text :
- https://doi.org/10.1016/j.nic.2017.04.007