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Robert C. Susil

Researcher at Johns Hopkins University

Publications -  42
Citations -  3233

Robert C. Susil is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Magnetic resonance imaging & Fiducial marker. The author has an hindex of 26, co-authored 42 publications receiving 3150 citations. Previous affiliations of Robert C. Susil include University of Tokyo & Johns Hopkins University School of Medicine.

Papers
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Journal ArticleDOI

Design of a novel MRI compatible manipulator for image guided prostate interventions

TL;DR: A novel remotely actuated manipulator for access to prostate tissue under magnetic resonance imaging guidance (APT-MRI) device, designed for use in a standard high-field MRI scanner, that provides three-dimensional MRI guided needle placement with millimeter accuracy under physician control.
Patent

Systems and methods for magnetic-resonance-guided interventional procedures

TL;DR: In this article, the authors disclosed a probe, including a first electrode disposed at least partially on the probe surface, a second electrode disposed on the surface, and a reactive element electrically coupling the first and the second conductor.
Journal ArticleDOI

RF safety of wires in interventional MRI: using a safety index.

TL;DR: In this paper, the authors presented the first theoretical model of wire tip heating that can accurately predict its absolute value, assuming a straight wire, a homogeneous RF coil, and a wire that does not extend out of the tissue.
Journal ArticleDOI

Feasibility of Real-Time Magnetic Resonance Imaging for Catheter Guidance in Electrophysiology Studies

TL;DR: This is the first study to report the feasibility of real-time MRI-guided electrophysiology procedures and may eliminate patient and staff radiation exposure and improve real- time soft tissue resolution for procedural guidance.
Journal ArticleDOI

A generalized activating function for predicting virtual electrodes in cardiac tissue.

TL;DR: The generalized activating function, originally used to describe neuronal stimulation, is extended to derive a new expression that identifies the sources that drive changes in transmembrane potential and provides a useful way of understanding virtual electrode effects in cardiac tissue.