• No results found

University of Groningen Flexible needle steering for computed tomography-guided interventions Shahriari, Navid

N/A
N/A
Protected

Academic year: 2021

Share "University of Groningen Flexible needle steering for computed tomography-guided interventions Shahriari, Navid"

Copied!
2
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

University of Groningen

Flexible needle steering for computed tomography-guided interventions

Shahriari, Navid

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

Publication date: 2018

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Shahriari, N. (2018). Flexible needle steering for computed tomography-guided interventions. University of Groningen.

Copyright

Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons).

Take-down policy

If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum.

(2)

Curriculum Vitae

Navid Shahriari was born in Mash-had, Iran on July 10, 1988. He re-ceived his B.Sc. degree in Biomed-ical Engineering from State Univer-sity of Isfahan, Iran. He continued his education at Sapienza University of Rome, Italy, where his research was fo-cused on medical robotics and visual servoing. He did his master’s final project at DIAG Robotics Laboratory (http://www.diag.uniroma1.it/ labrob) and gained his M.Sc. degree with honors

in Artificial Intelligence and Robotics. He started his Ph.D. research in 2013 as a part of RICIBION project supported by funds from the Samenwerk-ingsverband Noord-Nederland (SNN) Program, at Surgical Robotics Labo-ratory (http://www.surgicalroboticslab.nl) jointly at University of Twente and University Medical Centrum Groningen, The Netherlands. During his Ph.D., he developed a robotic system for computed tomography (CT)-guided intervention. Currently, he is working at Stichting IMEC Nederland, High Tech Campus Eindhoven, The Netherlands, where his research focuses on connected health solutions, and biomedical applications and systems. His research interests are primarily in the area of biomedical engineering, medical robotics, and signal and image processing.

Referenties

GERELATEERDE DOCUMENTEN

Bij zeugen werd de standaardemissie van 4,2 kg per varken per jaar door alle drie de bedrijven overschreden wanneer de berekende emissie uit de mestkelder werd opgeteld bij de

5 Flexible Needle Steering in Moving Biological Tissue with Motion Com- pensation using Ultrasound and Force Feedback 103. IEEE Robotics and Automation

The system is not actuated and the clinician should used the linear stages to position the needle at the insertion point, and then align the needle with the target using the

The needle is steered towards a virtual target in biological tissue embedded in a gelatin phantom using computed tomography (CT) images.. The top inset shows the phantom, the

ultrasound images and FBG-based reconstruction are fused to estimate the needle tip pose, which is used as feedback in the steering algorithm.. Needle steering is performed in

Table 4.1: Experimental results for Case III: Computed tomography images are fused with electromagnetic tracking data using an unscented Kalman filter.. The needle is steered towards

In experimental Case III, the needle is steered towards ten spherical tar- gets, five embedded in gelatin phantom and five embedded in bovine liver. The experiments results

Figure 6.4: The needle steering is performed using the developed hybrid steering algorithm: The experimental setup for Case II and Case III are depicted in (a) and (b), respectively..