| Online-Ressource |
Verfasst von: | Esposito, Marco [VerfasserIn]  |
| Storath, Martin [VerfasserIn]  |
Titel: | Total variation regularization of pose signals with an application to 3D freehand ultrasound |
Verf.angabe: | Marco Esposito, Christoph Hennersperger, Rüdiger Göbl, Laurent Demaret, Martin Storath, Nassir Navab, Maximilian Baust, Andreas Weinmann |
E-Jahr: | 2019 |
Jahr: | 11 February 2019 |
Umfang: | 14 S. |
Fussnoten: | Gesehen am 20.12.2019 |
Titel Quelle: | Enthalten in: Institute of Electrical and Electronics EngineersIEEE transactions on medical imaging |
Ort Quelle: | New York, NY : Institute of Electrical and Electronics Engineers, 1982 |
Jahr Quelle: | 2019 |
Band/Heft Quelle: | 38(2019), 10, Seite 2245-2258 |
ISSN Quelle: | 1558-254X |
Abstract: | Three-dimensional freehand imaging techniques are gaining wider adoption due to their flexibility and cost efficiency. Typical examples for such a combination of a tracking system with an imaging device are freehand SPECT or freehand 3D ultrasound. However, the quality of the resulting image data is heavily dependent on the skill of the human operator and on the level of noise of the tracking data. The latter aspect can introduce blur or strong artifacts, which can significantly hamper the interpretation of image data. Unfortunately, the most commonly used tracking systems to date, i.e., optical and electromagnetic, present a trade-off between invading the surgeon's workspace (due to line-of-sight requirements) and higher levels of noise and sensitivity due to the interference of surrounding metallic objects. In this paper, we propose a novel approach for total variation regularization of data from tracking systems (which we term pose signals) based on a variational formulation in the manifold of Euclidean transformations. The performance of the proposed approach was evaluated using synthetic data as well as real ultrasound sweeps executed on both a Lego phantom and human anatomy, showing significant improvement in terms of tracking data quality and compounded ultrasound images. Source code can be found at https://github.com/IFL-CAMP/pose_regularization. |
DOI: | doi:10.1109/TMI.2019.2898480 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1109/TMI.2019.2898480 |
| DOI: https://doi.org/10.1109/TMI.2019.2898480 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | 3D freehand ultrasound |
| Biomedical optical imaging |
| biomedical ultrasonics |
| blur artifacts |
| data quality |
| electromagnetic trade-off between invading |
| Electromagnetics |
| Euclidean transformations |
| freehand SPECT |
| human anatomy |
| human operator |
| image data |
| image reconstruction |
| imaging device |
| Lego phantom |
| medical image processing |
| Optical imaging |
| Optical sensors |
| optical trade-off between invading |
| phantoms |
| pose estimation |
| present a trade-off between invading |
| signal denoising |
| Three-dimensional displays |
| three-dimensional freehand imaging techniques |
| total variation regularization |
| tracking data |
| tracking system |
| Ultrasonic imaging |
| ultrasound images |
| ultrasound sweeps |
| variational formulation |
K10plus-PPN: | 1686253427 |
Verknüpfungen: | → Zeitschrift |
Total variation regularization of pose signals with an application to 3D freehand ultrasound / Esposito, Marco [VerfasserIn]; 11 February 2019 (Online-Ressource)