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Article: Automatic Force-Based Probe Positioning for Precise Robotic Ultrasound Acquisition

TitleAutomatic Force-Based Probe Positioning for Precise Robotic Ultrasound Acquisition
Authors
KeywordsMedical robotics
normal direction detection
parameters optimization
robotic ultrasound (US)
Issue Date2021
Citation
IEEE Transactions on Industrial Electronics, 2021, v. 68, n. 11, p. 11200-11211 How to Cite?
AbstractThe correct orientation of an ultrasound (US) probe is one of the main parameters governing the US image quality. With the rise of robotic ultrasound systems (RUSS), methods that can automatically compute the orientation promise repeatable, automatic acquisition from predefined angles resulting in high-quality US imaging. In this article, we propose a method to automatically position a US probe orthogonally to the tissue surface, thereby improving sound propagation and enabling RUSS to reach predefined orientations relatively to the surface normal at the contact point. The method relies on the derivation of the underlying mechanical model. Two rotations around orthogonal axes are carried out, while the contact force is being recorded. Then, the force data are fed into the model to estimate the normal direction. Accordingly, the probe orientation can be computed without requiring visual features. The method is applicable to the convex and linear probes. It has been evaluated on a phantom with varying tilt angles and on multiple human tissues (forearm, upper arm, lower back, and leg). As a result, it has outperformed existing methods in terms of accuracy. The mean (pmSD) absolute angular difference on the in-vivo tissues averaged over all anatomies and probe types is 2.9pm 1.6° and 2.2pm 1.5° on the phantom.
Persistent Identifierhttp://hdl.handle.net/10722/365392
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 3.395

 

DC FieldValueLanguage
dc.contributor.authorJiang, Zhongliang-
dc.contributor.authorGrimm, Matthias-
dc.contributor.authorZhou, Mingchuan-
dc.contributor.authorHu, Ying-
dc.contributor.authorEsteban, Javier-
dc.contributor.authorNavab, Nassir-
dc.date.accessioned2025-11-05T06:55:50Z-
dc.date.available2025-11-05T06:55:50Z-
dc.date.issued2021-
dc.identifier.citationIEEE Transactions on Industrial Electronics, 2021, v. 68, n. 11, p. 11200-11211-
dc.identifier.issn0278-0046-
dc.identifier.urihttp://hdl.handle.net/10722/365392-
dc.description.abstractThe correct orientation of an ultrasound (US) probe is one of the main parameters governing the US image quality. With the rise of robotic ultrasound systems (RUSS), methods that can automatically compute the orientation promise repeatable, automatic acquisition from predefined angles resulting in high-quality US imaging. In this article, we propose a method to automatically position a US probe orthogonally to the tissue surface, thereby improving sound propagation and enabling RUSS to reach predefined orientations relatively to the surface normal at the contact point. The method relies on the derivation of the underlying mechanical model. Two rotations around orthogonal axes are carried out, while the contact force is being recorded. Then, the force data are fed into the model to estimate the normal direction. Accordingly, the probe orientation can be computed without requiring visual features. The method is applicable to the convex and linear probes. It has been evaluated on a phantom with varying tilt angles and on multiple human tissues (forearm, upper arm, lower back, and leg). As a result, it has outperformed existing methods in terms of accuracy. The mean (pmSD) absolute angular difference on the in-vivo tissues averaged over all anatomies and probe types is 2.9pm 1.6° and 2.2pm 1.5° on the phantom.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Industrial Electronics-
dc.subjectMedical robotics-
dc.subjectnormal direction detection-
dc.subjectparameters optimization-
dc.subjectrobotic ultrasound (US)-
dc.titleAutomatic Force-Based Probe Positioning for Precise Robotic Ultrasound Acquisition-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TIE.2020.3036215-
dc.identifier.scopuseid_2-s2.0-85111976423-
dc.identifier.volume68-
dc.identifier.issue11-
dc.identifier.spage11200-
dc.identifier.epage11211-
dc.identifier.eissn1557-9948-

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