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  4. Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking
 
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Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking

Citation Link: https://doi.org/10.15480/882.4637
Publikationstyp
Journal Article
Date Issued
2022-05-21
Sprache
English
Author(s)
Sprenger, Johanna  
Bengs, Marcel  
Gerlach, Stefan  orcid-logo
Neidhardt, Maximilian  
Schlaefer, Alexander  
Institut
Medizintechnische und Intelligente Systeme E-1  
TORE-DOI
10.15480/882.4637
TORE-URI
http://hdl.handle.net/11420/13762
Journal
International journal of computer assisted radiology and surgery  
Volume
17
Issue
11
Start Page
2131
End Page
2139
Citation
International Journal of Computer Assisted Radiology and Surgery 17 (11): 2131-2139 (2022-11-01)
Publisher DOI
10.1007/s11548-022-02665-5
Scopus ID
2-s2.0-85130304946
PubMed ID
35597846
Publisher
Springer
Objectives: Motion compensation is an interesting approach to improve treatments of moving structures. For example, target motion can substantially affect dose delivery in radiation therapy, where methods to detect and mitigate the motion are widely used. Recent advances in fast, volumetric ultrasound have rekindled the interest in ultrasound for motion tracking. We present a setup to evaluate ultrasound based motion tracking and we study the effect of imaging rate and motion artifacts on its performance. Methods: We describe an experimental setup to acquire markerless 4D ultrasound data with precise ground truth from a robot and evaluate different real-world trajectories and system settings toward accurate motion estimation. We analyze motion artifacts in continuously acquired data by comparing to data recorded in a step-and-shoot fashion. Furthermore, we investigate the trade-off between the imaging frequency and resolution. Results: The mean tracking errors show that continuously acquired data leads to similar results as data acquired in a step-and-shoot fashion. We report mean tracking errors up to 2.01 mm and 1.36 mm on the continuous data for the lower and higher resolution, respectively, while step-and-shoot data leads to mean tracking errors of 2.52 mm and 0.98 mm. Conclusions: We perform a quantitative analysis of different system settings for motion tracking with 4D ultrasound. We can show that precise tracking is feasible and additional motion in continuously acquired data does not impair the tracking. Moreover, the analysis of the frequency resolution trade-off shows that a high imaging resolution is beneficial in ultrasound tracking.
Subjects
Image guidance
Motion estimation
Radiotherapy
Tracking
Ultrasound
DDC Class
600: Technik
Funding(s)
Robotisierte Ultraschall-gestützte Bildgebung zur Echtzeit-Bewegungskompensation in der Strahlentherapie (RobUST), Phase II  
Projekt DEAL  
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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