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Status: Bibliographieeintrag

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Verfasst von:Esposito, Marco [VerfasserIn]   i
 Storath, Martin [VerfasserIn]   i
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

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