Patient specific dosimetry phantoms using multichannel LDDMM of the whole body

Daniel J. Tward, Can Ceritoglu, Anthony Kolasny, Gregory M. Sturgeon, W. Paul Segars, Michael I. Miller, J. Tilak Ratnanather

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


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 (2-4mm) and robust across this large and variable data set.

Original languageEnglish (US)
Article number481064
JournalInternational Journal of Biomedical Imaging
StatePublished - 2011

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Patient specific dosimetry phantoms using multichannel LDDMM of the whole body'. Together they form a unique fingerprint.

Cite this