dc.contributor.author | DURU, ADİL DENİZ | |
dc.contributor.author | Bebek, Nerses | |
dc.contributor.author | Yumerhodzha, Sami | |
dc.contributor.author | Sencer, Serra | |
dc.contributor.author | Duru, Dilek Goksel | |
dc.date.accessioned | 2021-03-03T13:29:32Z | |
dc.date.available | 2021-03-03T13:29:32Z | |
dc.identifier.citation | Duru D. G. , Yumerhodzha S., DURU A. D. , Sencer S., Bebek N., "Investigation of Anatomical Connectivity of Thalamic Stroke Patients using Tract Based Spatial Statistics", Medical Technologies National Conference (TIPTEKNO), Bodrum, Türkiye, 15 - 18 Ekim 2015 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_345c6791-c5d8-4e36-9d9f-d9153d217134 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/39409 | |
dc.description.abstract | Diffusion tensor imaging (DTI) techniques allow the detection of changes in the microstructure of the human brain. The detection and follow-up of the underlying pathology and disruption of tissues is of vital importance. Tract-based spatial statistics (TBSS) is a whole brain voxel-by-voxel technique that allows the statistical comparison of the DTI indexes, restricting the analysis to the center of white matter tracts. In the concept of this study, fractional anisotropic differences of the thalamic stroke patients vs control group are investigated and the tracts are reported. | |
dc.language.iso | eng | |
dc.subject | Sinyal İşleme | |
dc.subject | Biyomedikal Mühendisliği | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Mühendislik | |
dc.subject | MÜHENDİSLİK, BİYOMEDİKSEL | |
dc.title | Investigation of Anatomical Connectivity of Thalamic Stroke Patients using Tract Based Spatial Statistics | |
dc.type | Bildiri | |
dc.contributor.department | İstanbul Arel Üniversitesi , , | |
dc.contributor.firstauthorID | 145964 | |