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International Journal of Biomedical Imaging
Volume 2011, Article ID 481064, 9 pages
Research Article

Patient Specific Dosimetry Phantoms Using Multichannel LDDMM of the Whole Body

1The Center for Imaging Science, The Johns Hopkins University, Baltimore, MD 21218-2686, USA
2Carl E. Ravin Advanced Imaging Laboratories, Duke University, Durham, NC 27705, USA
3Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC 27599-7575, USA
4Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA
5Institute for Computational Medicine, The Johns Hopkins University, Baltimore, MD 21218-2686, USA

Received 1 April 2011; Accepted 3 June 2011

Academic Editor: Yasser M. Kadah

Copyright © 2011 Daniel J. Tward et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper describes an automated procedure for creating detailed patient-specific pediatric dosimetry phantoms from a small set of segmented organs in a child's CT scan. The algorithm involves full body mappings from adult template to pediatric images using multichannel large deformation diffeomorphic metric mapping (MC-LDDMM). The parallel implementation and performance of MC-LDDMM for this application is studied here for a sample of 4 pediatric patients, and from 1 to 24 processors. 93.84% of computation time is parallelized, and the efficiency of parallelization remains high until more than 8 processors are used. The performance of the algorithm was validated on a set of 24 male and 18 female pediatric patients. It was found to be accurate typically to within 1-2 voxels (2–4 mm) and robust across this large and variable data set.