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Experimental results from a preclinical X-ray phase-contrast CT scanner
Arne Tapfer1, Martin Bech, Astrid Velroyen
1Department of Physics and Institute of Medical Engineering, Technische Universität München, Garching, Germany. arne.tapfer@tum.de
Summary
This study introduces a preclinical computed tomography scanner using grating-based X-ray phase contrast (PC) for enhanced soft-tissue visibility. An adaptive method corrects artifacts, enabling accurate imaging for future medical diagnostics.
Area of Science:
- Medical Imaging
- Physics
- Biomedical Engineering
Background:
- Grating-based X-ray phase contrast (PC) imaging offers superior soft-tissue contrast compared to conventional methods.
- Transitioning PC imaging from benchtop setups to rotating gantry systems presents challenges, primarily phase artifacts due to grating misalignment.
Purpose of the Study:
- To develop and evaluate a preclinical computed tomography (CT) scanner with a rotating gantry for grating-based X-ray PC imaging.
- To address phase artifacts encountered in rotating gantry systems and demonstrate the system's capability for quantitative imaging.
Main Methods:
- Development of a novel preclinical CT scanner incorporating a rotating gantry for X-ray PC imaging.
- Implementation of an adaptive phase recovery algorithm to correct for phase artifacts during gantry rotation.
- Acquisition and analysis of tomography scans of biological tissue using both attenuation and phase contrast.
Main Results:
- The developed adaptive phase recovery method successfully corrected phase artifacts, enabling accurate Hounsfield unit recovery in both attenuation and phase channels.
- The preclinical CT scanner demonstrated the feasibility of quantitative grating-based X-ray PC imaging with a rotating gantry.
- The system produced complementary attenuation and phase contrast information from biological tissue scans.
Conclusions:
- This work demonstrates the first successful implementation of grating-based X-ray PC imaging with a rotating gantry.
- The developed system and artifact correction method pave the way for advanced preclinical imaging in small animal disease models.
- This technology holds long-term potential for future human diagnostic applications.
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