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John K. Triedman

dblp:03/2930 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · unresolved

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Artificial intelligence
1 paper
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › medical robotics
needle insertion
0.112005
Trajectory Optimization for Dynamic Needle Insertion · ICRA 2005
Medical and health informatics
minimally invasive therapy
0.112005
Trajectory Optimization for Dynamic Needle Insertion · ICRA 2005
Medical and health informatics
surgical robotics
0.112005
Trajectory Optimization for Dynamic Needle Insertion · ICRA 2005

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

in vitro and in vivo experiments · 0.1energy-based fracture mechanics · 0.1
YearPublicationVenuePosition
2005 Trajectory Optimization for Dynamic Needle Insertion
abstract
Needle based intervention procedures are a common minimally invasive surgical technique. In many of these procedures, the needle can be considered rigid and the tissue deforms and displaces substantially as the needle is advanced to its target. An energy based, fracture mechanics approach is presented to show that the velocity dependence of tissue properties can reduce tissue motion with increased needle velocities. In-vitro test results on porcine heart samples show that the force required to initiate cutting reduces with increasing needle velocity up to a critical speed, above which, the rate independent cutting force of the underlying tissue becomes the limiting factor. In-vivo tests show increased needle speed results in reduced force and displacement for needle insertion into the heart. Results indicate that automated insertion could substantially improve performance in some applications.
Matt Heverly, Pierre E. Dupont, John K. Triedman
ICRA3