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Updated: Jun 30, 2026

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography

Published on: February 21, 2017

Energy-resolved computed tomography: first experimental results.

Polad M Shikhaliev¹

¹Imaging Physics Laboratory, Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA 70803, USA. pshikhal@lsu.edu

Physics in Medicine and Biology

|September 19, 2008

Summary

Energy-resolved computed tomography (CT) improves contrast-to-noise ratio (CNR) by weighting x-ray photon energies. This novel approach enhances material decomposition CT imaging for better diagnostic accuracy.

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Obtaining 3D Chemical Maps by Energy Filtered Transmission Electron Microscopy Tomography

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Published on: June 9, 2018

Area of Science:

Medical Imaging
Photon Counting Detectors
Computed Tomography

Background:

Conventional CT systems use energy-integrating detectors, underestimating low-energy photons crucial for contrast.
Existing methods do not fully leverage the contrast information available from lower energy X-ray photons.

Purpose of the Study:

To report the first experimental results of energy-resolved computed tomography (CT).
To demonstrate the improvement in contrast-to-noise ratio (CNR) using X-ray energy weighting.
To evaluate the impact of energy weighting on material decomposition CT.

Main Methods:

Utilized a photon counting detector system with cadmium zinc telluride (CZT) semiconductor pixels.
Acquired energy-selective CT data from a cylindrical phantom with various contrast elements.
Applied digital X-ray energy weighting and material decomposition techniques to CT data.

Main Results:

Achieved significant CNR improvement for calcifications (1.40x) and iodine (1.63x) using X-ray energy weighting.
Enhanced CNR in material decomposition CT for calcification (1.57x) and iodine (1.46x).
Demonstrated feasibility of energy-weighted and material-selective CT imaging from a single scan.

Conclusions:

Energy-resolved CT with X-ray energy weighting offers a substantial improvement in CNR.
The technique shows promise for enhanced material decomposition in CT imaging.
Limitations due to detector artifacts (hole trapping, charge sharing) are identified, with ongoing research for solutions.