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May 10, 2023 · Hyperspectral computed tomography is a developing technique that exploits the property of materials to attenuate X-rays in different ...
May 21, 2023 · Hyperspectral computed tomography is a developing technique that exploits the property of materials to attenuate X-rays in different ...
Hyperspectral computed tomography is a developing technique that exploits the property of materials to attenuate X-rays in different quantities.
Regularized Material Decomposition for K-edge Separation in Hyperspectral Computed Tomography ... K-edge imaging in pre-clinical computed tomography. Phys ...
Regularized Material Decomposition for K-edge Separation in Hyperspectral Computed Tomography. Published:2023 Issue: Volume: Page:107-119. ISSN:0302-9743.
We present a method for material classification using spectral CT. The method employs a basis material decomposition model and estimates the effective atomic ...
Missing: Hyperspectral | Show results with:Hyperspectral
Image-based material decomposition faces two challenges: (1) the spectral CT images are affected by higher noise than conventional CT (if the same total dose is ...
A blind decomposition model is constructed to decompose the multivoltage projections to obtain the base images and the energies. Multienergy CT images are ...
Dec 17, 2020 · Yu-Na, K. Hee-Joung, Quantitative material decomposition using. 580 spectral computed tomography with an energy-resolved photon-counting.
