Dual-Energy X-Ray Tomography Method for Material decomposition

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• Salla Latva-Äijö (University of Helsinki)
• Wednesday 29 March 2023, 14:50-15:20
• Seminar Room 1, Newton Institute.

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RNTW02 - Rich and non-linear tomography in medical imaging, materials and non destructive testing

We present an energy-sensitive X-ray imaging protocol for material decomposition. A novel regularizer and and a specialized interior point method for dual-energy X-ray tomography is presented for reconstructing separate images of intertwined materials. We propose a variational regularization approach. The regularizer combines a non-negativity constraint with a penalty term to promote the presence of at most one material at a given pixel. Tests on digital phantoms suggest that the new inner product (IP) algorithm outperforms the baseline method Joint Total Variation (JTV) in terms of correctly material-characterized pixels. The approach can easily be generalized to three dimensions and more materials.

This talk is part of the Isaac Newton Institute Seminar Series series.

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