Gutenberg Open Science: Projection-based improvement of 3D reconstructions from motion-impaired dental cone beam CT data

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-7038

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DC Field	Value	Language
dc.contributor.author	Niebler, Stefan	-
dc.contributor.author	Schömer, Elmar	-
dc.contributor.author	Tjaden, Henning	-
dc.contributor.author	Schwanecke, Ulrich	-
dc.contributor.author	Schulze, Ralf	-
dc.date.accessioned	2022-05-25T09:41:44Z	-
dc.date.available	2022-05-25T09:41:44Z	-
dc.date.issued	2019	-
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/7052	-
dc.description.abstract	Purpose Computed tomography (CT) and, in particular, cone beam CT (CBCT) have been increasingly used as a diagnostic tool in recent years. Patient motion during acquisition is common in CBCT due to long scan times. This results in degraded image quality and may potentially increase the number of retakes. Our aim was to develop a marker-free iterative motion correction algorithm that works on the projection images and is suitable for local tomography. Methods We present an iterative motion correction algorithm that allows the patient's motion to be detected and taken into account during reconstruction. The core of our method is a fast GPU-accelerated three-dimensional reconstruction algorithm. Assuming rigid motion, motion correction is performed by minimizing a pixel-wise cost function between all captured x-ray images and parameterized projections of the reconstructed volume. Results Our method is marker-free and requires only projection images. Furthermore, it can deal with local tomography data. We demonstrate the effectiveness of our approach on both simulated and real motion-beset patient images. The results show that our new motion correction algorithm leads to accurate reconstructions with sharper edges, better contrasts and more detail. Conclusions The presented method allows for correction of patient motion with observable improvements in image quality compared to uncorrected reconstructions. Potentially, this may reduce the number of retakes caused by corrupted reconstructions due to patient movements.	en_GB
dc.language.iso	eng	de
dc.rights	CC BY	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.ddc	004 Informatik	de_DE
dc.subject.ddc	004 Data processing	en_GB
dc.title	Projection-based improvement of 3D reconstructions from motion-impaired dental cone beam CT data	en_GB
dc.type	Zeitschriftenaufsatz	de
dc.identifier.doi	http://doi.org/10.25358/openscience-7038	-
jgu.type.contenttype	Scientific article	de
jgu.type.dinitype	article	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.organisation.department	FB 08 Physik, Mathematik u. Informatik	de
jgu.organisation.number	7940	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.journal.title	Medical physics	de
jgu.journal.volume	46	de
jgu.journal.issue	10	de
jgu.pages.start	4470	de
jgu.pages.end	4480	de
jgu.publisher.year	2019	-
jgu.publisher.name	Wiley	de
jgu.publisher.place	Hoboken, NJ	de
jgu.publisher.issn	2473-4209	de
jgu.publisher.issn	1522-8541	de
jgu.publisher.issn	0094-2405	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	004	de
jgu.publisher.doi	10.1002/mp.13731	de
jgu.organisation.ror	https://ror.org/023b0x485
Appears in collections:	JGU-Publikationen

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