@inproceedings{9c9718e091c448a3a6638daf7e57ae5d,
title = "İnterhem{\.i}sfer{\.i}k atrof{\.i} {\"o}l{\c c}{\"u}mler{\.i} hem{\.i}sfer{\.i}k kort{\.i}kal atrof{\.i} {\"o}l{\c c}{\"u}mler{\.i} {\.i}le kar{\c s}ila{\c s}tirildiǧinda uzman derecelend{\.i} rmes{\.i} {\.i}le daha uyumludur",
abstract = "Brain atrophy is one of the parameters considered by experts for rating dementia from neuro-imaging findings. Research efforts have focused on measuring brain atrophy from images through experts' visual assessment or computer-based approaches. However, agreement between the visual assessment and computer-based measurement of atrophy is not yet investigated. Accordingly, this paper presents an automated method for cerebral atrophy assessment from cross-sectional MRI through hemispheric volume loss. For this purpose, the proposed method quantifies inter-hemispheric distance, and the distance between the cranium and the brain parenchyma, separately. Discriminative power of the proposed method is evaluated on two datasets with experts' visual gradings: Yue et al.'s data and a newly created reference dataset. Results show that inter-hemispheric atrophy better correlates with visual grades, and inconsistencies at the skull-stripping or brain tissue extraction steps can degrade the agreement between computer-based measurements and expert gradings.",
author = "O. Ba{\c s}kaya and M. Kandemir and Tepe, {M. S.} and M. Acar and G. {\"U}nal and Yal{\c c}iner, {Z. B.} and D. {\"U}nay",
year = "2012",
doi = "10.1109/SIU.2012.6204783",
language = "T{\"u}rk{\c c}e",
isbn = "9781467300568",
series = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",
booktitle = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",
note = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012 ; Conference date: 18-04-2012 Through 20-04-2012",
}