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A statistical framework for material decomposition using multi-energy photon counting x-ray detector | IEEE Conference Publication | IEEE Xplore

A statistical framework for material decomposition using multi-energy photon counting x-ray detector

Publisher: IEEE

Abstract:

Recently, material decomposition using multi energy photon counting x-ray detector (PCXD) have been one of the very active areas of researches. Even with a few success, d...View more

Abstract:

Recently, material decomposition using multi energy photon counting x-ray detector (PCXD) have been one of the very active areas of researches. Even with a few success, decomposition of three materials, including malignant tissue, has been still considered a difficult problem and systematic studies are still required. In this paper, we propose a statistical framework for decomposition of three material using PCXD. In particular, we derive an energy level optimization algorithm using the theory of minimum variance unbiased estimator (MVUE), and iterative update of material composition as well as system parameter estimation under a unified statistical estimation framework. Experiment results using physical breast phantom as well as real ex vivo breast data confirm that the proposed algorithm can accurately decompose three materials including malignant tissue.
Date of Conference: 02-05 May 2012
Date Added to IEEE Xplore: 12 July 2012
ISBN Information:

ISSN Information:

Publisher: IEEE
Conference Location: Barcelona, Spain

References

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