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Michael Zervas

dblp:87/9967 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 50% Robot manipulation · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › medical robotics
needle steering
0.112011
Real-time MRI-guided needle placement robot with integrated fiber optic force sensing · ICRA 2011
Robotics › Motion planning and robot control
robot control
0.112011
Real-time MRI-guided needle placement robot with integrated fiber optic force sensing · ICRA 2011
Medical and health informatics › medical robotics
robot-assisted intervention
0.012011
Real-time MRI-guided needle placement robot with integrated fiber optic force sensing · ICRA 2011

Methods — techniques the papers use, named apart from their topics

piezoelectric actuation · 0.2fiber optic force sensing · 0.2fabry-perot interferometer · 0.2
YearPublicationVenuePosition
2011 Real-time MRI-guided needle placement robot with integrated fiber optic force sensing
abstract
This paper presents the first prototype of a magnetic resonance imaging (MRI) compatible piezoelectric actuated robot integrated with a high-resolution fiber optic sensor for prostate brachytherapy with real-time in situ needle steering capability in 3T MRI. The 6-degrees-of-freedom (DOF) robot consists of a modular 3-DOF needle driver with fiducial tracking frame and a 3-DOF actuated Cartesian stage. The needle driver provides needle cannula rotation and translation (2-DOF) and stylet translation (1-DOF). The driver mimics the manual physician gesture by two point grasping. To render proprioception associated with prostate interventions, a Fabry Perot interferometer based fiber optic strain sensor is designed to provide high-resolution axial needle insertion force measurement and is robust to large range of temperature variation. The paper explains the robot mechanism, controller design, optical modeling and opto-mechanical design of the force sensor. MRI compatibility of the robot is evaluated under 3T MRI using standard prostate imaging sequences and average signal noise ratio (SNR) loss is limited to 2% during actuator motion. A dynamic needle insertion is performed and bevel tip needle steering capability is demonstrated under continuous real-time MRI guidance, both with no visually identifiable interference during robot motion. Fiber optic sensor calibration validates the theoretical modeling with satisfactory sensing range and resolution for prostate intervention.
Hao Su 0002, Michael Zervas, Gregory A. Cole, Cosme Furlong, Gregory S. Fischer
ICRA2