Source:http://linkedlifedata.com/resource/pubmed/id/19555880
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
2
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pubmed:dateCreated |
2009-6-26
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pubmed:abstractText |
Interventional MRI (iMRI) holds great promise for optimally guiding and monitoring restorative and functional neurosurgical procedures. This technology has already been used to guide ablative therapies and insert deep brain stimulation electrodes, and many future applications are envisioned. An optimized software interface is crucial for efficiently integrating the imaging data acquired during these procedures. MR systems are largely dedicated to image prescription and acquisition, whereas neuronavigation systems typically operate with previously acquired static data. An optimal software interface for iMRI requires fusion of many of the capabilities offered by these individual devices and further requires the development of tools to handle the integration and presentation of dynamically updated data.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Apr
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pubmed:issn |
1558-1349
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:volume |
20
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
179-86
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pubmed:meshHeading |
pubmed-meshheading:19555880-Animals,
pubmed-meshheading:19555880-Electrodes, Implanted,
pubmed-meshheading:19555880-Humans,
pubmed-meshheading:19555880-Image Processing, Computer-Assisted,
pubmed-meshheading:19555880-Magnetic Resonance Imaging,
pubmed-meshheading:19555880-Neurosurgical Procedures,
pubmed-meshheading:19555880-Software
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pubmed:year |
2009
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pubmed:articleTitle |
Software requirements for interventional MR in restorative and functional neurosurgery.
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pubmed:affiliation |
Department of Radiology and Biomedical Imaging, University of California San Francisco, Box 0628, Room L-310, 505 Parnassus Avenue, San Francisco, CA 94143, USA. alastair.martin@radiology.ucsf.edu
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pubmed:publicationType |
Journal Article,
Review
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