scholarly journals Design and Control of a Novel Hydraulically/Pneumatically Actuated Robotic System for MRI-Guided Neurosurgery

2008 ◽  
Vol 01 (01) ◽  
pp. 68-74 ◽  
Author(s):  
Cyrus Raoufi ◽  
Andrew A. Goldenberg ◽  
Walter Kucharczyk
Author(s):  
C. Raoufi ◽  
A. A. Goldenberg ◽  
W. Kucharczyk ◽  
H. Hadian

In this paper, the inverse kinematic and control paradigm of a novel tele-robotic system for MRI-guided interventions for closed-bore MRI-guided brain biopsy is presented. Other candidate neurosurgical procedures enabled by this system would include thermal ablation, radiofrequency ablation, deep brain stimulators, and targeted drug delivery. The control architecture is also reported. The design paradigm is fundamentally based on a modular design configuration of the slave manipulator that is performing tasks inside MR scanner. The tele-robotic system is a master-slave system. The master manipulator consists of three units including: (i) the navigation module; (ii) the biopsy module; and (iii) the surgical arm. Navigation and biopsy modules were designed to undertake the alignment and advancement of the surgical needle respectively. The biopsy needle is held and advanced by the biopsy module. The biopsy module is attached to the navigation module. All three units are held by a surgical arm. The main challenge in the control of the biopsy needle using the proposed navigation module is to adjust a surgical tool from its initial position and orientation to a final position and orientation. In a typical brain biopsy operation, the desired task is to align the biopsy needle with a target knowing the positions of both the target in the patient’s skull and the entry point on the surface of the skull. In this paper, the mechanical design, control paradigms, and inverse kinematics model of the robot are reported.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1537
Author(s):  
Florin Covaciu ◽  
Adrian Pisla ◽  
Anca-Elena Iordan

The traditional systems used in the physiotherapy rehabilitation process are evolving towards more advanced systems that use virtual reality (VR) environments so that the patient in the rehabilitation process can perform various exercises in an interactive way, thus improving the patient’s motivation and reducing the therapist’s work. The paper presents a VR simulator for an intelligent robotic system of physiotherapeutic rehabilitation of the ankle of a person who has had a stroke. This simulator can interact with a real human subject by attaching a sensor that contains a gyroscope and accelerometer to identify the position and acceleration of foot movement on three axes. An electromyography (EMG) sensor is also attached to the patient’s leg muscles to measure muscle activity because a patient who is in a worse condition has weaker muscle activity. The data collected from the sensors are taken by an intelligent module that uses machine learning to create new levels of exercise and control of the robotic rehabilitation structure of the virtual environment. Starting from these objectives, the virtual reality simulator created will have a low dependence on the therapist, this being the main improvement over other simulators already created for this purpose.


Author(s):  
Amirhossein Salimi ◽  
Amin Ramezanifar ◽  
Javad Mohammadpour ◽  
Karolos M. Grogoriadis

Restricted space inside the magnetic resonance imaging (MRI) scanner bore prevents surgeons to directly interact with the patient during MRI-guided procedures. This motivates the development of a robotic system that can act as an interface during those interventions. In this paper, we present a master-slave robotic system as a solution to the aforedescribed issue. The proposed system consists of a commercial PHANTOM device (product of The Sensable Technologies) as the master robot and an MRI-compatible patient-mounted parallel platform (that we name ROBOCATH) designed to serve as the slave mechanism inside the scanner bore. We present in this paper the design principles for the platform, as well as the PID control design for the system. We use our experimental setup to evaluate the performance of the system by examining the effectiveness of the slave platform in tracking the reference trajectories generated by the master robot.


2010 ◽  
Vol 34 (1) ◽  
pp. 3-8 ◽  
Author(s):  
Junichi Tokuda ◽  
Gregory S. Fischer ◽  
Simon P. DiMaio ◽  
David G. Gobbi ◽  
Csaba Csoma ◽  
...  

2020 ◽  
Vol 67 (10) ◽  
pp. 2990-2999
Author(s):  
Niravkumar A. Patel ◽  
Christopher J. Nycz ◽  
Paulo A. Carvalho ◽  
Katie Y. Gandomi ◽  
Radian Gondokaryono ◽  
...  

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