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Abstract #1833

Automated Segmentation of Human Skull to plan Craniofacial Surgery using dual-Radiofrequency dual-Echo, 3D Ultrashort Echo Time MRI sequence

Pulkit Khandelwal1, Carrie E. Zimmerman2, Long Xie3, Hyunyeol Lee3, Cheng-Chieh Cheng3, Scott P. Bartlett2, Paul Yushkevich3, and Felix W. Wehrli3
1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 2Division of Plastic Surgery, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 3Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States

Bone-selective Magnetic Resonance Imaging (MRI) produced by a Dual Radiofrequency (RF), dual‐echo, 3D Ultrashort Echo Time (UTE) pulse sequence and bone‐selective image reconstruction process provides a radiation-free imaging modality with high concordance to computed tomography (CT). This imaging technique is of specific interest to craniofacial surgeons. Here, we pilot the use of an automated segmentation pipeline on the bone-selective MR images with the goal of reducing time required for the 3D segmentation step. This automated segmentation pipeline, used with bone-selective MRI could eliminate the need for radiative CT thereby reducing the risk of malignancy in pediatric craniofacial patients.

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