摘要：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.
