Automated robotic breast ultrasound acquisition using ultrasound feedback

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

Current challenges in automated robotic breast ultrasound (US) acquisitions include keeping acoustic coupling between the breast and the US probe, minimizing tissue deformations and safety. In this paper, we present how an autonomous 3D breast US acquisition can be performed utilizing a 7DOF robot equipped with a linear US transducer. Robotic 3D breast US acquisitions would increase the diagnostic value of the modality since they allow patient specific scans and have a high reproducibility, accuracy and efficiency. Additionally, 3D US acquisitions allow more flexibility in examining the breast and simplify registration with preoperative images like MRI. To overcome the current challenges, the robot follows a reference- based trajectory adjusted by a visual servoing algorithm. The reference trajectory is a patient specific trajectory coming from e.g. an MRI. The visual servoing algorithm commands in-plane rotations and corrects the probe contact based on confidence maps. A safety aware, intrinsically passive framework is utilised to actuate the robot. The approach is illustrated with experiments on a phantom, which show that the robot only needs minor pre-procedural information to consistently image the phantom while relying mainly on US feedback.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Robotics and Automation, ICRA 2020
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages9946-9952
Number of pages7
ISBN (Electronic)978-1-7281-7395-5, 978-1-7281-7394-8
ISBN (Print)978-1-7281-7396-2
DOIs
Publication statusPublished - May 2020
EventInternational Conference on Robotics and Automation, ICRA 2020 - Virtual Conference, Paris, France
Duration: 31 May 202031 Aug 2020
https://www.icra2020.org/

Publication series

NameProceedings IEEE International Conference on Robotics and Automation (ICRA)
PublisherIEEE
Volume2020
ISSN (Print)1050-4729
ISSN (Electronic)2577-087X

Conference

ConferenceInternational Conference on Robotics and Automation, ICRA 2020
Abbreviated titleICRA 2020
CountryFrance
CityParis
Period31/05/2031/08/20
Internet address

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