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A Bayesian Hierarchical Model for Classifying Craniofacial Malformations from CT Imaging
 

Summary: A Bayesian Hierarchical Model for Classifying Craniofacial
Malformations from CT Imaging
S. Ruiz-Correa, D. Gatica-Perez, H. J. Lin, L. G. Shapiro, and R.W. Sze
Abstract-- Single-suture craniosynostosis is a condition of the
sutures of the infant's skull that causes major craniofacial
deformities and is associated with an increased risk of cognitive
deficits and learning/language disabilities. In this paper we
adapt to classification of synostostic head shapes a Bayesian
methodology that overcomes the limitations of our previously
published shape representation and classification techniques.
We evaluate our approach in a series of large-scale experiments
and show performance superior to those of standard approaches
such as Fourier descriptors, cranial spectrum, and Euclidian-
distance-based analyses.
I. INTRODUCTION
Craniosynostosis is the premature fusion of one or more
calvarial sutures that normally separate the bony plates of the
skull [4]. In normal developing infants, open sutures allow
the skull to expand as the brain grows, producing normal
head shape. If one or more sutures are prematurely fused,

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle

 

Collections: Computer Technologies and Information Sciences