Object removal in gradient domain of cone-beam CT projections

Bastian Bier; Martin Berger; Jennifer Maier; Mathias Unberath; Scott Hsieh; Serena Bonaretti; Rebecca Fahrig; Marc E. Levenston; Garry E. Gold; Andreas Maier

doi:10.1109/NSSMIC.2016.8069480

Object removal in gradient domain of cone-beam CT projections

Bastian Bier, Martin Berger, Jennifer Maier, Mathias Unberath, Scott Hsieh, Serena Bonaretti, Rebecca Fahrig, Marc E. Levenston, Garry E. Gold, Andreas Maier

Radiology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We propose a method to reduce streak artifacts in cone-beam CT reconstructions that arise from the edges of dense objects outside the 3D field-of-view. To this end, ramp filtering is decomposed into a derivative- and a Hilbert transform step. This allows for spectral inpainting directly in gradient domain, such that only contributions of sharp edges are removed. We applied our approach to weight-bearing knee imaging data, where plastic pipes outside the field-of-view introduce notable streak artifacts. Streak artifacts in the reconstructions are reduced and on semi-simulated data the correlation coefficient could be improved from 0.88 to 0.99. The method is applicable for arbitrary object shapes and can be easily integrated into existing FDK reconstruction algorithms.

Original language	English (US)
Title of host publication	2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509016426
DOIs	https://doi.org/10.1109/NSSMIC.2016.8069480
State	Published - Oct 16 2017
Event	2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 - Strasbourg, France Duration: Oct 29 2016 → Nov 6 2016

Publication series

Name	2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
Volume	2017-January

Conference

Conference	2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
Country/Territory	France
City	Strasbourg
Period	10/29/16 → 11/6/16

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Instrumentation
Nuclear and High Energy Physics
Electronic, Optical and Magnetic Materials

Access to Document

10.1109/NSSMIC.2016.8069480

Cite this

Bier, B., Berger, M., Maier, J., Unberath, M., Hsieh, S., Bonaretti, S., Fahrig, R., Levenston, M. E., Gold, G. E., & Maier, A. (2017). Object removal in gradient domain of cone-beam CT projections. In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 [8069480] (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2016.8069480

Object removal in gradient domain of cone-beam CT projections. / Bier, Bastian; Berger, Martin; Maier, Jennifer et al.

2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 8069480 (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bier, B, Berger, M, Maier, J, Unberath, M, Hsieh, S, Bonaretti, S, Fahrig, R, Levenston, ME, Gold, GE & Maier, A 2017, Object removal in gradient domain of cone-beam CT projections. in 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016., 8069480, 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016, Strasbourg, France, 10/29/16. https://doi.org/10.1109/NSSMIC.2016.8069480

Bier B, Berger M, Maier J, Unberath M, Hsieh S, Bonaretti S et al. Object removal in gradient domain of cone-beam CT projections. In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 8069480. (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016). doi: 10.1109/NSSMIC.2016.8069480

Bier, Bastian ; Berger, Martin ; Maier, Jennifer et al. / Object removal in gradient domain of cone-beam CT projections. 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016. Institute of Electrical and Electronics Engineers Inc., 2017. (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016).

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abstract = "We propose a method to reduce streak artifacts in cone-beam CT reconstructions that arise from the edges of dense objects outside the 3D field-of-view. To this end, ramp filtering is decomposed into a derivative- and a Hilbert transform step. This allows for spectral inpainting directly in gradient domain, such that only contributions of sharp edges are removed. We applied our approach to weight-bearing knee imaging data, where plastic pipes outside the field-of-view introduce notable streak artifacts. Streak artifacts in the reconstructions are reduced and on semi-simulated data the correlation coefficient could be improved from 0.88 to 0.99. The method is applicable for arbitrary object shapes and can be easily integrated into existing FDK reconstruction algorithms.",

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AU - Bonaretti, Serena

AU - Fahrig, Rebecca

AU - Levenston, Marc E.

AU - Gold, Garry E.

AU - Maier, Andreas

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Object removal in gradient domain of cone-beam CT projections

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