ePlasty: Vol. 8
Objective Three-Dimensional Analysis of Cranial Morphology
Jeffrey R. Marcus, MD,a,b Leahthan F. Domeshek, BSE,a Rajesh Das, BS,a Sean Marshall, BSE,a Roger Nightingale, PhD,a,d Tracey H. Stokes, MD,a,b and Srinivasan Mukundan, Jr. PhD, MDa,c,d

aInterdisciplinary Craniofacial Imaging Lab, Duke University, Durham, NC; bDivision of Plastic and Reconstructive Surgery, Duke University Medical Center, Durham, NC; cDepartment of Radiology, Duke University Medical Center, Durham, NC; and dDepartment of Biomedical Engineering, Duke University, Durham, NC

Correspondence: marcu006@mc.duke.edu

Objective: The lack of adequate means to objectively characterize cranial shape contributes to ongoing controversies in the surgical management of craniosynostosis. Cranial shape analysis must address relevant clinical questions objectively and thoroughly and must be broadly applicable across the spectrum of normal and abnormal. Herein, we demonstrate and statistically validate an automated computed tomography (CT)-based application for 3-dimensional characterization of skull morphology. The technology is intended for application to diagnostic imaging, surgical planning, and outcomes assessment. Methods: Three-dimensional vector analysis (3DVA) was applied to craniofacial CT data, generating three-dimensional cranial surface point clouds. Validation: To assess accuracy, measurem .......