Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SIU.2012.6204642 | Signal Processing and Communications Applications Conference |
Keywords | Field | DocType |
Fourier transforms,biomedical MRI,feature extraction,image classification,image reconstruction,medical image processing,2D elliptic Fourier descriptors,3D elliptic Fourier descriptors,DMRI,anatomical white matter pathways,automatic classification,automatic extraction,brain white matter diseases,brain white matter pathways reconstruction,computational tool,diffusion weighted images,magnetic resonance imaging,real pathological cases,surgical planning,white matter atlas space | Iterative reconstruction,Computer vision,Surgical planning,White matter,Pattern recognition,Computer science,Feature extraction,Fourier transform,Artificial intelligence,Contextual image classification,Brain White Matter,Magnetic resonance imaging | Conference |
ISBN | Citations | PageRank |
978-1-4673-0054-4 | 0 | 0.34 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Demir, A. | 1 | 0 | 0.34 |
| Mustafa Ünel | 2 | 154 | 20.71 |
| Rachid Deriche | 3 | 4903 | 633.65 |
| Gözde B. Ünal | 4 | 0 | 0.68 |