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Abstract #1328

Developing a Craniofacial Soft Tissue Anthropomorphic Database: Applying Diffeomorphic Template Building Methods to MRI

Dillan F Villavisanis1, Pulkit Khandelwal2, Zachary D Zapatero1, Connor S Wagner2, Daniel Y Cho1, Liana Cheung1, Jessica D Blum1, Jordan W Swanson1, Jesse A Taylor1, Paul A Yushkevich 2, and Scott P Bartlett1
1Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States


Craniofacial surgery requires reconciliation of several factors for deformity reconstruction and aesthetic enhancement. Here, we present data in developing a racially and ethnically sensitive anthropomorphic database to provide plastic and craniofacial surgeons with a set of “normal” anatomic measurements to optimize aesthetic and reconstructive outcomes. Images were used to construct composite (template) images with Advanced Normalization Tools (ANTs) and Greedy Tools. Composite templates demonstrated age-appropriate anatomic measurements as proof of concept. Application of diffeomorphic algorithms via ANTs to MRI is effective in developing composite templates representing “normal” soft tissue anatomy, which may aid in objectively quantifying anatomic abnormality.

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