Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2007 International Conference on Cyberworlds |
| Untertitel | (CW'07) |
| Herausgeber (Verlag) | IEEE Computer Society |
| Seiten | 417-426 |
| Seitenumfang | 10 |
| ISBN (Print) | 0769530052, 9780769530055 |
| Publikationsstatus | Veröffentlicht - 2007 |
| Veranstaltung | 2007 International Conference on Cyberworlds, CW'07 - Hannover, Deutschland Dauer: 24 Okt. 2007 → 27 Okt. 2007 |
Abstract
This paper proposes to use the volumetric Laplace spectrum as a global shape descriptor for medical shape analysis. The approach allows for shape comparisons using minimal shape preprocessing. In particular, no registration, mapping, or remeshing is necessary. All computations can be performed directly on the voxel representations of the shapes. The discriminatory power of the method is tested on a population of female caudate shapes (brain structure) of normal control subjects and of subjects with schizotypal personality disorder. The behavior and properties of the volumetric Laplace spectrum are discussed extensively for both the Dirichlet and Neumann boundary condition showing advantages of the Neumann spectra. Both, the computations of spectra on 3D voxel data for shape matching as well as the use of the Neumann spectrum for shape analysis are completely new.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Mensch-Maschine-Interaktion
- Sozialwissenschaften (insg.)
- Kommunikation
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- BibTex
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2007 International Conference on Cyberworlds: (CW'07). IEEE Computer Society, 2007. S. 417-426 4390947.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Global Medical Shape Analysis Using the Volumetric Laplace Spectrum
AU - Reuter, Martin
AU - Niethammer, Marc
AU - Wolter, Franz Erich
AU - Bouix, Sylvain
AU - Shenton, Martha
PY - 2007
Y1 - 2007
N2 - This paper proposes to use the volumetric Laplace spectrum as a global shape descriptor for medical shape analysis. The approach allows for shape comparisons using minimal shape preprocessing. In particular, no registration, mapping, or remeshing is necessary. All computations can be performed directly on the voxel representations of the shapes. The discriminatory power of the method is tested on a population of female caudate shapes (brain structure) of normal control subjects and of subjects with schizotypal personality disorder. The behavior and properties of the volumetric Laplace spectrum are discussed extensively for both the Dirichlet and Neumann boundary condition showing advantages of the Neumann spectra. Both, the computations of spectra on 3D voxel data for shape matching as well as the use of the Neumann spectrum for shape analysis are completely new.
AB - This paper proposes to use the volumetric Laplace spectrum as a global shape descriptor for medical shape analysis. The approach allows for shape comparisons using minimal shape preprocessing. In particular, no registration, mapping, or remeshing is necessary. All computations can be performed directly on the voxel representations of the shapes. The discriminatory power of the method is tested on a population of female caudate shapes (brain structure) of normal control subjects and of subjects with schizotypal personality disorder. The behavior and properties of the volumetric Laplace spectrum are discussed extensively for both the Dirichlet and Neumann boundary condition showing advantages of the Neumann spectra. Both, the computations of spectra on 3D voxel data for shape matching as well as the use of the Neumann spectrum for shape analysis are completely new.
UR - http://www.scopus.com/inward/record.url?scp=46449111789&partnerID=8YFLogxK
U2 - 10.1109/CW.2007.42
DO - 10.1109/CW.2007.42
M3 - Conference contribution
AN - SCOPUS:46449111789
SN - 0769530052
SN - 9780769530055
SP - 417
EP - 426
BT - 2007 International Conference on Cyberworlds
PB - IEEE Computer Society
T2 - 2007 International Conference on Cyberworlds, CW'07
Y2 - 24 October 2007 through 27 October 2007
ER -