Development of 3-material decomposition method combining multiple 2-material decompositions in photon counting CT

Shinichi Kojima; Kazuma Yokoi; Isao Takahashi

doi:10.1117/12.2541200

16 March 2020 Development of 3-material decomposition method combining multiple 2-material decompositions in photon counting CT

Shinichi Kojima, Kazuma Yokoi, Isao Takahashi

Author Affiliations +

Proceedings Volume 11312, Medical Imaging 2020: Physics of Medical Imaging; 113124V (2020) https://doi.org/10.1117/12.2541200
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

We developed a simple method of many (more than 2) material decomposition by combining 2-material decomposition by using energy information obtained with Photon Counting CT. We started from a theoretical approach and led the equation of the attenuation caused by 3 basis materials. As a result, we confirmed that the equations were degenerated when we used the same combination of the energy ranges among multiple 2-material decompositions, and the right lengths of individual basis materials cannot be obtained. On the other hand, we found that a set of equations can be solved when we used different combinations. To demonstrate our method, we simulated how 3-material decomposition (basis materials: water, iodine and calcium) is carried by 2-material decompositions with the same energy data and the different energy data. As a result, we cannot obtain proper solutions in the case of the same energy ranges as found in the theoretical approach, and we confirmed that the right lengths were provided in the case of the different energy ranges. In conclusion, we demonstrated that 3- material decomposition can be implemented by combining multiple 2-material decompositions by using different sets of the energy ranges.

Citation Download Citation

Shinichi Kojima, Kazuma Yokoi, and Isao Takahashi "Development of 3-material decomposition method combining multiple 2-material decompositions in photon counting CT", Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 113124V (16 March 2020); https://doi.org/10.1117/12.2541200

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