Multi-step material decomposition for spectral computed tomography.

Multi-step material decomposition for spectral computed tomography. Phys Med Biol. 2019 Jun 19;: Authors: Fredette NR, Kavuri A, Das M Abstract Spectral images from photon counting spectral detectors are being
 explored for material decomposition applications such as for obtaining quantitative
 maps of tissue types and contrast agents. While these detectors allow acquisition
 of multi-energy data in a single exposure, separating the total photon counts into
 multiple energy bins can lead to issues of count starvation and increased quantum
 noise in resultant maps. Furthermore, the complex decomposition problem is often
 solved in a single inversion step making it dicult to separate materials with close
 properties. We propose a multi-step decomposition method which allows solving the
 problem in multiple steps using the same spectral data collected in a single exposure.
 During each step, quantitative accuracy of a single material is under focus and one can
 
 exibly optimize the bins chosen in that step. The result thus obtained becomes part
 of the input data for the next step in the multi-step process. This makes the problem
 less ill-conditioned and allows better quantitation of more challenging materials within
 the object. In comparison to a conventional single-s...
Source: Physics in Medicine and Biology - Category: Physics Authors: Tags: Phys Med Biol Source Type: research
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