Global medical shape analysis using the Laplace-Beltrami spectrum.
This paper proposes to use the Laplace-Beltrami spectrum (LBS) as a global shape descriptor for medical shape analysis, allowing for shape comparisons using minimal shape preprocessing: no registration, mapping, or remeshing is necessary. The discriminatory power of the method is tested on a population of female caudate shapes of normal control subjects and of subjects with schizotypal personality disorder.
Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston MA, USA.
Marc
M
Niethammer
Martin
M
Reuter
Franz-Erich
FE
Wolter
Sylvain
S
Bouix
Niklas
N
Peinecke
Min-Seong
MS
Koo
Martha E
ME
Shenton
D000328:Adult; D000465:Algorithms; D001185:Artificial Intelligence; D002421:Caudate Nucleus / Q000473:pathology*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012559:Schizophrenia / Q000175:diagnosis*; D012680:Sensitivity and Specificity