Dual-Energy Algorithms and Postprocessing Techniques
Recently, dual energy CT has been routinely used in clinical practice for the applications of bone removal, kidney stone composition differentiation, gout identification, and generating virtual non-contrast images. This is mainly due to the material differentiation capability of dual energy CT in which patients are scanned with two distinguished beam energies. Processing algorithms used to obtain material-specific information were reviewed, including projection-based, image-based and hybrid methods. Pros and cons of each algorithm were compared. Different type of images generated from dual energy data sets (e.g. blended image, material-selective image and energy-selective image) were summarized and appropriate clinical applications were discussed. Finally, dose performance of dual energy CT, in comparison with single energy CT, was analyzed with the consideration of image quality.
KeywordsLinear Attenuation Coefficient Mass Attenuation Coefficient Effective Atomic Number Blended Image Image Space Approach
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