TY - JOUR
T1 - Target tracking accuracy and latency with different 4D ultrasound systems - A robotic phantom study
AU - Ipsen, Svenja
AU - Böttger, Sven
AU - Schwegmann, Holger
AU - Ernst, Floris
N1 - Funding Information:
Research funding: The following funding sources were involved in this study: BMBF grant ‘NavEVAR’ (Epiq 7), MWVATT of the State of S-H (E95, Panda).
Publisher Copyright:
© 2020 Svenja Ipsen et al., published by De Gruyter, Berlin/Boston 2020.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/5/1
Y1 - 2020/5/1
N2 - Ultrasound (US) imaging, in contrast to other image guidance techniques, offers the distinct advantage of providing volumetric image data in real-time (4D) without using ionizing radiation. The goal of this study was to perform the first quantitative comparison of three different 4D US systems with fast matrix array probes and real-time data streaming regarding their target tracking accuracy and system latency. Sinusoidal motion of varying amplitudes and frequencies was used to simulate breathing motion with a robotic arm and a static US phantom. US volumes and robot positions were acquired online and stored for retrospective analysis. A template matching approach was used for target localization in the US data. Target motion measured in US was compared to the reference trajectory performed by the robot to determine localization accuracy and system latency. Using the robotic setup, all investigated 4D US systems could detect a moving target with sub-millimeter accuracy. However, especially high system latency increased tracking errors substantially and should be compensated with prediction algorithms for respiratory motion compensation.
AB - Ultrasound (US) imaging, in contrast to other image guidance techniques, offers the distinct advantage of providing volumetric image data in real-time (4D) without using ionizing radiation. The goal of this study was to perform the first quantitative comparison of three different 4D US systems with fast matrix array probes and real-time data streaming regarding their target tracking accuracy and system latency. Sinusoidal motion of varying amplitudes and frequencies was used to simulate breathing motion with a robotic arm and a static US phantom. US volumes and robot positions were acquired online and stored for retrospective analysis. A template matching approach was used for target localization in the US data. Target motion measured in US was compared to the reference trajectory performed by the robot to determine localization accuracy and system latency. Using the robotic setup, all investigated 4D US systems could detect a moving target with sub-millimeter accuracy. However, especially high system latency increased tracking errors substantially and should be compensated with prediction algorithms for respiratory motion compensation.
UR - http://www.scopus.com/inward/record.url?scp=85093507281&partnerID=8YFLogxK
U2 - 10.1515/cdbme-2020-0038
DO - 10.1515/cdbme-2020-0038
M3 - Journal articles
AN - SCOPUS:85093507281
SN - 2364-5504
VL - 6
JO - Current Directions in Biomedical Engineering
JF - Current Directions in Biomedical Engineering
IS - 1
M1 - 20200038
ER -