A symbolic shaped-based retrieval of skull images.
In this work, we describe a novel symbolic representation of shapes for quantifying skull abnormalities in children with craniosynostosis. We show the efficacy of our work by demonstrating an application of this representation in shape-based retrieval of skull morphologies. This tool will enable correlation with potential pathogenesis and prognosis in order to enhance medical care.
Lin
H  Jill
H
Department of Medical Education and Biomedical Informatics, University of Washington, Seattle, WA, USA.
Ruiz-Correa
Salvador
S
Shapiro
Linda G
LG
Cunningham
Michael L
ML
Sze
Raymond W
RW
D000465:Algorithms; D002648:Child; D003398:Craniosynostoses / Q000000981:diagnostic imaging / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated; D011859:Radiography; D012886:Skull / Q000033:anatomy & histology* / Q000000981:diagnostic imaging