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@COMMENT{BibTeX export based on data in FAU CRIS: https://cris.fau.de/}
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@inproceedings{faucris.304997335,
abstract = {Dual energy (DE) CT is on the path to dramatically improve the impact of CT on patient healthcare. We are particularly interested in accurate estimation of tissue attenuation values, a key potential of DECT yet to be achieved. In many implementations of DECT, the two scans can be decomposed in the projection domain before image reconstruction. This decomposition amounts to solving a pair of non-linear equations for each measurement line. A computationally efficient approach addressing this problem is to directly express the solution with a polynomial fit. Most often, a cubic order is deemed sufficient, and the polynomial coefficients are found with calibration scans through combinations of positive lengths of the basis materials. Alternatively, when the energy response of the measurements is known, calibration scans are not needed, and both negative and positive material lengths can be considered. Negative material lengths can be useful to account for quantum noise and partial volume effects, and to enrich the set of tissues that can be exactly represented by the basis materials. In this work, we study the accuracy of the polynomial fitting assuming that the measurements have been corrected for scatter and the energy responses are known, using a data processing pipeline we recently published. Experimental results based on CT scans of the ACR phantom show that negative lengths are not uncommon, that fitting based on positive lengths therefore inherently involve unsafe extrapolation, and that quintic polynomial fitting with negative and positive material lengths yield robust and accurate results.},
author = {Haase, V. and Stierstorfer, K. and Maier, Andreas and Noo, F.},
booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
date = {2023-02-19/2023-02-23},
doi = {10.1117/12.2654340},
editor = {Lifeng Yu, Rebecca Fahrig, John M. Sabol},
faupublication = {yes},
isbn = {9781510660311},
keywords = {ACR CT accreditation phantom; analytical energy response model; Dual energy CT; material decomposition; polynomial fitting},
note = {CRIS-Team Scopus Importer:2023-06-09},
peerreviewed = {unknown},
publisher = {SPIE},
title = {{A} study on the accuracy of polynomial fitting for direct computation of material lengths from projection data in dual energy {CT}},
venue = {San Diego, CA, USA},
volume = {12463},
year = {2023}
}