Authors

The semi-automatic mandible segmentation (SAMS) pipeline was developed as a tool to aid in the goal of quantifying the multidimensional growth of the human mandible during the course of development. This project started in the Vocal Tract Development Lab, Waisman Center at the University of Wisconsin-Madison in 2013 under the supervision of VTLab Director and Principal Investigator Dr. Houri K. Vorperian and with guidance from co-investigator Dr. Moo K. Chung.

The development of this pipeline is a culmination of efforts of the following VTLab team members who worked on this project in chronological order: Dr. Nagesh Adluru, Simon Lank, Benjamin M. Doherty and Ying Ji Chuang. The refinement of this pipeline and development of this documentation are the direct outcomes of Ying Ji Chuang’s effort, with valuable guidance and input from Dr. Nagesh Adluru.

Acknowledgement

We would like to acknowledge Lauren Michael of the Center of High-Throughput Computing (CHTC) at the University of Wisconsin-Madison, for the support and guidance she provided throughout this project. We also thank Greg Thain for his comments on an earlier version of this documentation. This research was performed using the compute resources and assistance of the UW-Madison Center For High Throughput Computing (CHTC) in the Department of Computer Sciences. The CHTC is supported by UW-Madison, the Advanced Computing Initiative, the Wisconsin Alumni Research Foundation, the Wisconsin Institutes for Discovery, and the National Science Foundation, and is an active member of the Open Science Grid, which is supported by the National Science Foundation and the U.S. Department of Energy’s Office of Science.

This work was supported by NIH research grant R01 DC006282 (MRI and CT Studies of the Developing Vocal Tract, Houri K. Vorperian, Principal Investigator) from the National Institute on Deafness and other Communication Disorders (NIDCD), and by a core grant P30 HD03352 and U54 HD090256 to the Waisman Center (Albee Messing, PI) for research support from the National Institute of Child Health and Human Development (NICHD).