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https://hdl.handle.net/10356/53635
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shukal, Sudha. | |
dc.date.accessioned | 2013-06-06T07:10:03Z | |
dc.date.available | 2013-06-06T07:10:03Z | |
dc.date.copyright | 2011 | en_US |
dc.date.issued | 2011 | |
dc.identifier.uri | http://hdl.handle.net/10356/53635 | |
dc.description.abstract | As conventional open surgical techniques are fast being replaced with recent advanced techniques that are either minimally invasive or completely non-invasive, the development in Image-Guided NeuroSurgery (IGNS) has played a pivotal function in minimizing invasive neurosurgery. However, inIGNS a major source of concern is error due to brain tissue dislocation and deformation during neurosurgical standard operating procedures (SOP). | en_US |
dc.format.extent | 62 p. | en_US |
dc.language.iso | en | en_US |
dc.subject | DRNTU::Engineering::Mechanical engineering | en_US |
dc.title | Real-time monitoring for brain tissue deformation during surgery | en_US |
dc.type | Thesis | |
dc.contributor.supervisor | Sunita Chauhan | en_US |
dc.contributor.school | School of Mechanical and Aerospace Engineering | en_US |
dc.description.degree | Master of Science (Biomedical Engineering) | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | MAE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
SudhaShukal11.pdf Restricted Access | 11.76 MB | Adobe PDF | View/Open |
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