DocumentCode
1669048
Title
Design and Optimization Analysis of Open-MRI Compatibile Robot for Neurosurgery
Author
Hong Zaidi ; Yun Chao ; Zhao Lei ; Wang, Yannan
Author_Institution
Robot. Inst., Beihang Univ., Beijing
fYear
2008
Firstpage
1773
Lastpage
1776
Abstract
Numerous studies have demonstrated the efficacy of image-guided needle-based therapy and biopsy in the management of brain cancer. Magnetic Resonance Imaging (MRI) is an ideal modality for guiding and monitoring neurosurgery interventions, due to its excellent visualization of the brain tissues, including cancer tissues, its sub-structure and surrounding tissues. Despite these advantages, MRI scanners (open or closed) have not typically been used in neurosurgery interventions. The strong magnetic field prevents the use of conventional mechatroics and the confined physical space makes it extremely challenging to access the patient. MRI guided robot for neurosurgery have provided the solution of the above difficulities and more accuracy than surgery for neurosurgery. Presented here is the design of 5 degrees of freedom (DOF) open- MRI compatible robot for neurosurgery. The targeted clinical applications of the proposed robot are based on invasive surgery procedures, such as biopsy and brachytherapy. The paper explains the design process, MRI compatibility solution of robot and parameter optimization.
Keywords
biomedical MRI; brain; cancer; medical robotics; neurophysiology; optimisation; surgery; tumours; biopsy; brachytherapy; brain cancer; brain tissues; magnetic resonance imaging; neurosurgery; open-MRI compatibile robot; optimization analysis; Biopsy; Cancer; Design optimization; Magnetic analysis; Magnetic resonance imaging; Medical treatment; Neurosurgery; Orbital robotics; Robots; Surgery;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1747-6
Electronic_ISBN
978-1-4244-1748-3
Type
conf
DOI
10.1109/ICBBE.2008.772
Filename
4535652
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