Spectral CT using a fine grid structure and varying x-ray incidence angle
J Webster Stayman1, Matthew Tivnan1, Wenying Wang1
1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
A novel spectral computed tomography (CT) concept uses a fine-pitch grid to shape X-ray beams, enabling accurate material decomposition. This grid-based approach shows potential for upgrading standard CT systems for enhanced diagnostics.
Area of Science:
- Medical Imaging
- Physics
- Materials Science
Background:
- Spectral computed tomography (CT) is increasingly used for diagnostics and therapy evaluation.
- Distinct spectral sensitivities allow for material discrimination, quantitative density estimation, and artifact reduction.
Purpose of the Study:
- Introduce a novel spectral CT concept utilizing a fine-pitch grid for X-ray beam prefiltration.
- Demonstrate the ability to perform spectral CT acquisitions and material decomposition.
Main Methods:
- Developed physical models and illustrated operating principles of grid-based spectral shaping.
- Fabricated a prototype tungsten lamellae grid and compared spectral shaping via simulations and physical measurements.
- Integrated the grid onto a CT test bench and scanned an iodinated phantom.
Main Results:
- X-ray spectrometer measurements confirmed controllable spectral shaping with small angle changes, aligning with simulations.
- Identified critical angles for dramatic spectral characteristic changes.
- Reconstructed projection data and performed material decomposition into iodine and water, showing good agreement with known concentrations.
Conclusions:
- The grid-based approach is feasible for spectral CT data acquisition and accurate material decomposition.
- This novel concept could serve as a simple upgrade for standard energy-integrating CT systems.
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