Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-7038
Authors: Niebler, Stefan
Schömer, Elmar
Tjaden, Henning
Schwanecke, Ulrich
Schulze, Ralf
Title: Projection-based improvement of 3D reconstructions from motion-impaired dental cone beam CT data
Online publication date: 25-May-2022
Year of first publication: 2019
Language: english
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.
DDC: 004 Informatik
004 Data processing
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 08 Physik, Mathematik u. Informatik
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-7038
Version: Published version
Publication type: Zeitschriftenaufsatz
Document type specification: Scientific article
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: Medical physics
46
10
Pages or article number: 4470
4480
Publisher: Wiley
Publisher place: Hoboken, NJ
Issue date: 2019
ISSN: 2473-4209
1522-8541
0094-2405
Publisher DOI: 10.1002/mp.13731
Appears in collections:JGU-Publikationen

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