TY - GEN
T1 - Optimizing In-Contact Force Planning in Robotic Ultrasound with Augmented Reality Visualization Techniques
AU - Song, Tianyu
AU - Eck, Ulrich
AU - Navab, Nassir
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The utilization of augmented reality (AR) in medical robotics offers significant advancements in enhancing procedural accuracy and patient safety. This paper investigates novel AR visualization techniques designed to depict in-contact force applied by a robotic ultrasound probe, aiming to optimize the control practitioners have over probe force for ultrasound procedures, thereby enhancing both image quality and patient comfort. We developed and evaluated four distinct AR visualization techniques through a comprehensive user study conducted in a clinical setting. The study assessed the efficiency and user experience associated with each technique. The findings revealed notable differences in user performance and preferences, indicating that specific visualizations significantly improve the precision of force application and could lead to better procedural outcomes. The results underscore the potential of AR visualizations to transform robotic-assisted medical procedures by improving the interface between clinicians and robotic systems. Moreover, these advancements foster a deeper trust and acceptance of robotic technologies among healthcare professionals and patients. This study not only highlights the immediate benefits of AR in enhancing robotic ultrasound but also sets the stage for further research into AR's expansive role in complex medical robotics scenarios.
AB - The utilization of augmented reality (AR) in medical robotics offers significant advancements in enhancing procedural accuracy and patient safety. This paper investigates novel AR visualization techniques designed to depict in-contact force applied by a robotic ultrasound probe, aiming to optimize the control practitioners have over probe force for ultrasound procedures, thereby enhancing both image quality and patient comfort. We developed and evaluated four distinct AR visualization techniques through a comprehensive user study conducted in a clinical setting. The study assessed the efficiency and user experience associated with each technique. The findings revealed notable differences in user performance and preferences, indicating that specific visualizations significantly improve the precision of force application and could lead to better procedural outcomes. The results underscore the potential of AR visualizations to transform robotic-assisted medical procedures by improving the interface between clinicians and robotic systems. Moreover, these advancements foster a deeper trust and acceptance of robotic technologies among healthcare professionals and patients. This study not only highlights the immediate benefits of AR in enhancing robotic ultrasound but also sets the stage for further research into AR's expansive role in complex medical robotics scenarios.
KW - Human computer interaction (HCI)
KW - Human-centered computing
KW - Interaction paradigms
KW - Mixed / augmented reality
KW - Visualization
KW - Visualization design and evaluation methods
UR - http://www.scopus.com/inward/record.url?scp=85213548097&partnerID=8YFLogxK
U2 - 10.1109/ISMAR62088.2024.00070
DO - 10.1109/ISMAR62088.2024.00070
M3 - Conference contribution
AN - SCOPUS:85213548097
T3 - Proceedings - 2024 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2024
SP - 554
EP - 563
BT - Proceedings - 2024 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2024
A2 - Eck, Ulrich
A2 - Sra, Misha
A2 - Stefanucci, Jeanine
A2 - Sugimoto, Maki
A2 - Tatzgern, Markus
A2 - Williams, Ian
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2024
Y2 - 21 October 2024 through 25 October 2024
ER -