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John Yuen

dblp:36/4741 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—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 · 87% 3D vision · 13%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
motion planning
0.112005
Ultrasound Guided Robotic System for Transperineal Biopsy of the Prostate · ICRA 2005
Robotics › Motion planning and robot control › path planning › collision-free path planning
needle path planning
0.112005
Ultrasound Guided Robotic System for Transperineal Biopsy of the Prostate · ICRA 2005
Medical and health informatics
medical robotics
0.112005
Ultrasound Guided Robotic System for Transperineal Biopsy of the Prostate · ICRA 2005
Computer vision › 3D vision
3d reconstruction
0.012005
Ultrasound Guided Robotic System for Transperineal Biopsy of the Prostate · ICRA 2005

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

transrectal ultrasound · 0.13d modeling · 0.1
YearPublicationVenuePosition
2005 Ultrasound Guided Robotic System for Transperineal Biopsy of the Prostate
abstract
We present a prototype of a robotic system for accurate and consistent insertion of a percutaneous biopsy needle into the prostate. The robot manipulates a transrectal ultrasound (TRUS) probe to collect a series of 2 dimensional (2D) images of the prostate, which are later used to create a 3D computer model of the organ. The urologist defines the needle’s entry point at the perineal wall and the biopsy points within the 3D model following a biopsy protocol or otherwise. The robotic system then calculates the required trajectory of the needle. The path of the needle going into the prostate can also be simulated with the 3D model before the actual insertion. Being satisfied with the predicted outcome, the urologist configures the robot accordingly and manually pushes the mechanically guided needle into the patient to take the biopsy. Cadaveric and human trials have validated the robot’s needle placement error to be less than 2.5mm. Our future work includes the integration of a cancer predictive modality into the system to increase the cancer detection rate. The robotic system could also be modified to accurately place foreign bodies into the prostate, which could improve therapeutic procedures such as Brachytherapy.
Louis Phee, John Yuen, Chee Fatt Chan, Henry Sun Sien Ho, Choon Hua Thng, Christopher Wai Sam Cheng, Wan Sing Ng
ICRA3