Computational simulations of the influence of background noise removal in optical-CT imaging of gel dosimeters

Yi Du; Gongyi Yu; Xincheng Xiang; Xiangang Wang; Yves De Deene

doi:10.1088/1742-6596/847/1/012068

Computational simulations of the influence of background noise removal in optical-CT imaging of gel dosimeters

Yi Du, Gongyi Yu, Xincheng Xiang, Xiangang Wang^*, Yves De Deene

^*Corresponding author for this work

Research output: Contribution to journal › Conference paper › peer-review

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Abstract

Background noise removal is an easy way to diminish the impact of imperfect signals in the projection blank regions in optical CT imaging of gel dosimeters. The influence of this approach to reconstruction accuracy and noise behaviour is assessed by computational simulations using synthetic phantoms. The results show that an offset is induced in the reconstructed phantom region by background noise removal, but the amplitude of the offset is negligible. Also, no apparent noise or artefact patterns are noticeable. We can conclude that the background noise removal method doesn't impact the reconstruction accuracy of filtered backprojection reconstruction algorithm for optical CT imaging.

Original language	English
Article number	012068
Pages (from-to)	1-5
Number of pages	5
Journal	Journal of Physics: Conference Series
Volume	847
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/847/1/012068
Publication status	Published - 5 Jun 2017
Event	9th International Conference on 3D Radiation Dosimetry - Texas, United States Duration: 7 Nov 2016 → 10 Nov 2016

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Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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title = "Computational simulations of the influence of background noise removal in optical-CT imaging of gel dosimeters",

abstract = "Background noise removal is an easy way to diminish the impact of imperfect signals in the projection blank regions in optical CT imaging of gel dosimeters. The influence of this approach to reconstruction accuracy and noise behaviour is assessed by computational simulations using synthetic phantoms. The results show that an offset is induced in the reconstructed phantom region by background noise removal, but the amplitude of the offset is negligible. Also, no apparent noise or artefact patterns are noticeable. We can conclude that the background noise removal method doesn't impact the reconstruction accuracy of filtered backprojection reconstruction algorithm for optical CT imaging.",

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AU - Du, Yi

AU - Yu, Gongyi

AU - Xiang, Xincheng

AU - Wang, Xiangang

AU - De Deene, Yves

N1 - Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2017/6/5

Y1 - 2017/6/5

N2 - Background noise removal is an easy way to diminish the impact of imperfect signals in the projection blank regions in optical CT imaging of gel dosimeters. The influence of this approach to reconstruction accuracy and noise behaviour is assessed by computational simulations using synthetic phantoms. The results show that an offset is induced in the reconstructed phantom region by background noise removal, but the amplitude of the offset is negligible. Also, no apparent noise or artefact patterns are noticeable. We can conclude that the background noise removal method doesn't impact the reconstruction accuracy of filtered backprojection reconstruction algorithm for optical CT imaging.

AB - Background noise removal is an easy way to diminish the impact of imperfect signals in the projection blank regions in optical CT imaging of gel dosimeters. The influence of this approach to reconstruction accuracy and noise behaviour is assessed by computational simulations using synthetic phantoms. The results show that an offset is induced in the reconstructed phantom region by background noise removal, but the amplitude of the offset is negligible. Also, no apparent noise or artefact patterns are noticeable. We can conclude that the background noise removal method doesn't impact the reconstruction accuracy of filtered backprojection reconstruction algorithm for optical CT imaging.

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DO - 10.1088/1742-6596/847/1/012068

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Computational simulations of the influence of background noise removal in optical-CT imaging of gel dosimeters

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