Paper
3 April 2019 Experimental validation of a multi-step material decomposition method for spectral CT
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Abstract
Recently, we proposed a multi-step material decomposition method for spectral CT where the decomposition is solved in a series of steps each separating one new material from the original attenuation data. Until now, this method has only been tested using numerical simulations of multi-material digital phantoms. Here we present the initial results of the multistep method applied to experimental data acquired in our laboratory using a Medipix 3RX detector with a silicon senor. The decomposition of CT images of a 3-material phantom is demonstrated. The materials studied here are gadolinium (Gd), iodine (I) and acrylonitrile butadiene styrene (ABS) plastic. The results show qualitative and quantitative improvement in separation accuracy as the worst-case percent error in one selected slice is reduced by 51.7% when using our new method in comparison to a conventional single-step material decomposition.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nathaniel R. Fredette, Stefano Vespucci, and Mini Das "Experimental validation of a multi-step material decomposition method for spectral CT", Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging, 109482T (3 April 2019); https://doi.org/10.1117/12.2513503
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Gadolinium

Sensors

Signal attenuation

Silicon

Computed tomography

X-rays

Iodine

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