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  4. Position Data of Offline Needle Steering
 
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Position Data of Offline Needle Steering

Citation Link: https://doi.org/10.15480/336.4544
Type
Dataset
Date Issued
2022-10-07
Author(s)
Neidhardt, Maximilian  
Reinecke, Anton 
Rogalla, Antje  orcid-logo
Lehmann, Sascha 
Sprenger, Johanna  
Schlaefer, Alexander  
Schupp, Sibylle  
Language
English
Institute
Softwaresysteme E-16  
Medizintechnische und Intelligente Systeme E-1  
DOI
10.15480/336.4544
TORE-URI
http://hdl.handle.net/11420/13437
Abstract
"Automated needle steering in soft tissue" is an open problem in both surgery robotics and formal verification. Challenges that are common to both fields include the interaction between needle and tissue, which depends on the coupled effects of needle deflection, friction and force, and tissue deformation; navigation, collision avoidance, and path planning, which are faced with inhomogeneous, partially unknown tissue; and also adaptive updates and feedback, which are required in real time.
For each experiment, we record the feed of the needle in millimeters, the x, y, and z position of the needle in millimeters, and the rotation angle of the alignment of the angled needle tip in degree. The setup allows the needle to be pushed forwards and
backward in the y direction.
The experiments we restrict to a two-dimensional setting, but three-dimensional position data are recorded. Accordingly, we execute only motion plans with half rotations by 180 degree rotations. We do not execute motion plans with backward movement. Also, we do not allow more than two rotations within one motion plan.
DDC Class
004: Informatik
610: Medizin
620: Ingenieurwissenschaften
Funding(s)
I³-Lab - Modell-gestütztes maschinelles Lernen für die Weichgewebsmodellierung in der Medizin  
License
https://creativecommons.org/publicdomain/zero/1.0/
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