Advanced Tissue Characterization and Texture Analysis Using Dual-Energy Computed Tomography

Publication date: Available online 7 June 2017
Source:Neuroimaging Clinics of North America
Author(s): Reza Forghani, Ashok Srinivasan, Behzad Forghani

Teaser

In the last article of this issue, advanced analysis capabilities of DECT will be reviewed, including spectral Hounsfield unit attenuation curves, virtual monochromatic images, material decomposition maps, tissue effective Z determination, and other advanced post-processing DECT tools. This will be followed by different methods of analysis of the attenuation curves generated using DECT. The article will conclude 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.


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