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Summary

This summary is machine-generated.

Multienergy CT uses distinct x-ray energy levels to differentiate tissues and materials, improving upon conventional CT. Advanced techniques like photon-counting detector CT offer further capabilities beyond dual-energy CT.

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Area of Science:

Medical Imaging
Radiology
Physics

Background:

Conventional CT has limitations in differentiating certain tissues and materials.
Multienergy CT (MECT) utilizes differential tissue attenuation at varying x-ray energies to overcome these limitations.
MECT technologies can be implemented at the source or detector level.

Purpose of the Study:

To provide an overview of multienergy CT technologies and their applications.
To highlight the advantages of MECT over conventional CT in tissue and material differentiation.
To discuss various postprocessing techniques and derived image types in MECT.

Main Methods:

Acquisition of two or more CT measurements with distinct energy spectra.
Implementation of MECT technologies such as dual-source, rapid tube-voltage switching, and dual-layer detector CT.
Utilization of photon-counting detector CT for advanced multienergy capabilities.
Postprocessing in projection or image domain using two-material or multimaterial decomposition.

Main Results:

MECT enables enhanced distinction of tissues and materials compared to conventional CT.
Commonly generated MECT images include virtual monoenergetic images (VMIs), iodine maps, virtual noncontrast (VNC) images, and uric acid images.
Specific applications include lesion conspicuity enhancement (low-energy VMIs), artifact reduction (high-energy VMIs), perfusion assessment (iodine maps), and characterization of renal calculi and gout (uric acid images).

Conclusions:

Multienergy CT significantly expands the diagnostic capabilities of CT imaging.
Various MECT technologies and postprocessing techniques offer tailored solutions for diverse clinical applications.
The derived image types provide valuable information for lesion characterization, material decomposition, and radiation dose optimization.