Projection-based improvement of 3D reconstructions from motion-impaired dental cone beam CT data
- Publication type:
- Journal article
- Metadata:
-
- Autoren
- Stefan Niebler
- Elmar Schoemer
- Henning Tjaden
- Ulrich Schwanecke
- Ralf Schulze
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000484281100001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1002/mp.13731
- eISSN
- 2473-4209
- Externe Identifier
- Clarivate Analytics Document Solution ID: JE9WK
- PubMed Identifier: 31339580
- ISSN
- 0094-2405
- Ausgabe der Veröffentlichung
- 10
- Zeitschrift
- MEDICAL PHYSICS
- Schlüsselwörter
- CBCT
- motion
- tomography
- Paginierung
- 4470 - 4480
- Datum der Veröffentlichung
- 2019
- Status
- Published
- Titel
- Projection-based improvement of 3D reconstructions from motion-impaired dental cone beam CT data
- Sub types
- Article
- Ausgabe der Zeitschrift
- 46
Data source: Web of Science (Lite)
- Other metadata sources:
-
- Abstract
- <jats:sec><jats:title>Purpose</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>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.</jats:p></jats:sec>
- Autoren
- Stefan Niebler
- Elmar Schömer
- Henning Tjaden
- Ulrich Schwanecke
- Ralf Schulze
- DOI
- 10.1002/mp.13731
- eISSN
- 2473-4209
- ISSN
- 0094-2405
- Ausgabe der Veröffentlichung
- 10
- Zeitschrift
- Medical Physics
- Sprache
- en
- Online publication date
- 2019
- Paginierung
- 4470 - 4480
- Datum der Veröffentlichung
- 2019
- Status
- Published
- Herausgeber
- Wiley
- Herausgeber URL
- http://dx.doi.org/10.1002/mp.13731
- Datum der Datenerfassung
- 2023
- Titel
- Projection‐based improvement of 3D reconstructions from motion‐impaired dental cone beam CT data
- Ausgabe der Zeitschrift
- 46
Data source: Crossref
- Abstract
- <h4>Purpose</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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.
- Addresses
- Institute of Computer Science, Johannes Gutenberg University, 55099, Mainz, Germany.
- Autoren
- Stefan Niebler
- Elmar Schömer
- Henning Tjaden
- Ulrich Schwanecke
- Ralf Schulze
- DOI
- 10.1002/mp.13731
- eISSN
- 2473-4209
- Externe Identifier
- PubMed Identifier: 31339580
- Open access
- false
- ISSN
- 0094-2405
- Ausgabe der Veröffentlichung
- 10
- Zeitschrift
- Medical physics
- Schlüsselwörter
- Humans
- Imaging, Three-Dimensional
- Dentistry
- Movement
- Cone-Beam Computed Tomography
- Sprache
- eng
- Medium
- Print-Electronic
- Online publication date
- 2019
- Paginierung
- 4470 - 4480
- Datum der Veröffentlichung
- 2019
- Status
- Published
- Publisher licence
- CC BY
- Datum der Datenerfassung
- 2019
- Titel
- Projection-based improvement of 3D reconstructions from motion-impaired dental cone beam CT data.
- Sub types
- Journal Article
- Ausgabe der Zeitschrift
- 46
Data source: Europe PubMed Central
- 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.
- Date of acceptance
- 2019
- Autoren
- Stefan Niebler
- Elmar Schömer
- Henning Tjaden
- Ulrich Schwanecke
- Ralf Schulze
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/31339580
- DOI
- 10.1002/mp.13731
- eISSN
- 2473-4209
- Ausgabe der Veröffentlichung
- 10
- Zeitschrift
- Med Phys
- Schlüsselwörter
- CBCT
- motion
- tomography
- Cone-Beam Computed Tomography
- Dentistry
- Humans
- Imaging, Three-Dimensional
- Movement
- Sprache
- eng
- Country
- United States
- Paginierung
- 4470 - 4480
- Datum der Veröffentlichung
- 2019
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2020
- Titel
- Projection-based improvement of 3D reconstructions from motion-impaired dental cone beam CT data.
- Sub types
- Journal Article
- Ausgabe der Zeitschrift
- 46
Data source: PubMed
- Author's licence
- CC-BY
- Autoren
- Stefan Niebler
- Elmar Schömer
- Henning Tjaden
- Ulrich Schwanecke
- Ralf Schulze
- Hosting institution
- Universitätsbibliothek Mainz
- Sammlungen
- JGU-Publikationen
- Resource version
- Published version
- DOI
- 10.1002/mp.13731
- File(s) embargoed
- false
- Open access
- true
- ISSN
- 2473-4209
- Ausgabe der Veröffentlichung
- 10
- Zeitschrift
- Medical physics
- Schlüsselwörter
- 004 Informatik
- 004 Data processing
- Sprache
- eng
- Open access status
- Open Access
- Paginierung
- 4470 - 4480
- Datum der Veröffentlichung
- 2019
- Public URL
- https://openscience.ub.uni-mainz.de/handle/20.500.12030/7052
- Herausgeber
- Wiley
- Datum der Datenerfassung
- 2022
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2022
- Zugang
- Public
- Titel
- Projection-based improvement of 3D reconstructions from motion-impaired dental cone beam CT data
- Ausgabe der Zeitschrift
- 46
Files
projectionbased_improvement_o-20220525114531380.pdf
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