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  MRI-guided robotic arm (MgRA) to target deep brain nuclei in vivo

Chen, Y., Schlüsener, K., & Yu, X. (2017). MRI-guided robotic arm (MgRA) to target deep brain nuclei in vivo. In 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017) (pp. 453-453).

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-C5AE-E Version Permalink: http://hdl.handle.net/21.11116/0000-0000-F2FC-3
Genre: Meeting Abstract

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 Creators:
Chen, Y1, Author              
Schlüsener, K2, 3, Author              
Yu, X3, 4, Author              
Affiliations:
1Research Group Translational Neuroimaging and Neural Control, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528695              
2Research Group MR Neuroimaging Agents, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528691              
3Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
4Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Abstract: We develop a multiple degree-of-freedom robotic controlling system to target brain nuclei in the rat brain inside the high field (14.1T) MRI scanner. This MRI-compatible robot arm provides high targeting accuracy by using MRI images as a feedback to guide the brain intervention. Meanwhile, an MR-compatible camera-monitored insertion trajectory can be optimized through the controlling software in order to investigate the effectiveness, safety and feasibility of deep brain nuclei targeting for translational application.

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 Dates: 2017-04-26
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: ChenSY2017
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Title: 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017)
Place of Event: Honolulu, HI, USA
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Title: 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 0737 Start / End Page: 453 - 453 Identifier: -