Evidence map›Paper›PMID 35597846›Full record

ArticleInternational journal of computer assisted radiology and surgery2022

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

Johanna Sprenger, Marcel Bengs, Stefan Gerlach, Maximilian Neidhardt, Alexander Schlaefer

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Johanna SprengerInstitute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany. johanna.sprenger@tuhh.de.ORCID http://orcid.org/0000-0003-2196-9155
Marcel BengsInstitute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.
Stefan GerlachInstitute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.
Maximilian NeidhardtInstitute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.
Alexander SchlaeferInstitute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.

Funding

Deutsche Forschungsgemeinschaft SCHL 1844/3-2
6 · The paper itself

Abstract

objectivesMotion 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.

methodsWe 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.

resultsThe 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.

conclusionsWe 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.

Indexed as

ArtifactsDiagnostic ImagingHumansMotionPhantoms, ImagingUltrasonographyImage guidanceMotion estimationRadiotherapyTrackingUltrasound

Identifiers

PMID35597846
PMCPMC9515030

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.