Spectral CT imaging method based on blind separation of polychromatic projections with Poisson prior
| Autor: | Zhaoyan Qu, Xiaojie Zhao, Jiaotong Wei, Ping Chen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Computer science Multispectral image Computed tomography 02 engineering and technology Iterative reconstruction Poisson distribution 01 natural sciences Spectral line Non-negative matrix factorization 010309 optics symbols.namesake Optics 0103 physical sciences medicine Coordinate descent medicine.diagnostic_test business.industry 021001 nanoscience & nanotechnology Atomic and Molecular Physics and Optics Spectral imaging symbols Ct imaging 0210 nano-technology business Algorithm |
| Zdroj: | Optics express. 28(9) |
| ISSN: | 1094-4087 |
| Popis: | The linear reconstruction of narrow-energy-width projections can suppress hardening artifacts in conventional computed tomography (CT). We develop a spectral CT blind separation algorithm for obtaining narrow-energy-width projections under a blind scenario where the incident spectra are unknown. The algorithm relies on an X-ray multispectral forward model. Based on the Poisson statistical properties of measurements, a constrained optimization problem is established and solved by a block coordinate descent algorithm that alternates between nonnegative matrix factorization and Gauss-Newton algorithm. Experiments indicate that the decomposed projections conform to the characteristics of narrow-energy-width projections. The new algorithm improves the accuracy of obtaining narrow-energy-width projections. |
| Databáze: | OpenAIRE |
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