Evaluation of the Most Effective MRI Methods for a Diagnosis of the Brain Tumors
| but.event.date | 28.04.2016 | cs |
| but.event.title | Student EEICT 2016 | cs |
| dc.contributor.author | Širůčková, Kateřina | |
| dc.date.accessioned | 2018-07-10T12:48:08Z | |
| dc.date.available | 2018-07-10T12:48:08Z | |
| dc.date.issued | 2016 | cs |
| dc.description.abstract | The purpose of this project is to find out the most effective method for a diagnosis of the brain tumors utilizing different magnetic resonance imaging methods. Acquired MRI images were analyzed in two diagnostic programs, and obtained data were displayed into ratio-graphs. According to the results, volume-ration images are considered the most sufficient. The advantage of this method is that it provides doctors with significant information regarding the differences of the measured values between healthy and pathological tissue. | en |
| dc.format | text | cs |
| dc.format.extent | 9-11 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Proceedings of the 22nd Conference STUDENT EEICT 2016. s. 9-11. ISBN 978-80-214-5350-0 | cs |
| dc.identifier.isbn | 978-80-214-5350-0 | |
| dc.identifier.uri | http://hdl.handle.net/11012/83857 | |
| dc.language.iso | cs | cs |
| dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.relation.ispartof | Proceedings of the 22nd Conference STUDENT EEICT 2016 | en |
| dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
| dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.rights.access | openAccess | en |
| dc.subject | medical imaging methods | en |
| dc.subject | tumor | en |
| dc.subject | magnetic resonance | en |
| dc.subject | volume-ratio | en |
| dc.title | Evaluation of the Most Effective MRI Methods for a Diagnosis of the Brain Tumors | en |
| dc.type.driver | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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