@inproceedings{7fa9309f301f4a098e117226cbec14d6,
title = "Bey{\.i}n beyaz cevher{\.i} ve el{\.i}pt{\.i}k Fourier {\"o}zn{\.i}tel{\.i}kler{\.i}",
abstract = "Magnetic resonance imaging provides diffusion weighted images (DMRI), which non-invasively reconstruct the brain white matter pathways. DMRI is used to study brain white matter diseases as well as aid surgical planning. As localization of different white matter pathways surrounding a pathology is crucial for surgical planning, automatic extraction and classification of different anatomical white matter pathways pre-operatively becomes an important computational tool. In this paper, we propose a method for classification of brain white matter pathways based on 3D elliptic Fourier descriptors, which are extended from the 2D elliptic Fourier descriptors. We performed experiments and validation of the proposed method on a white matter atlas space and on real pathological cases.",
author = "Ali Demir and Mustafa {\"U}nel and Rachid Deriche and G{\"o}zde {\"U}nal",
year = "2012",
doi = "10.1109/SIU.2012.6204642",
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",
}