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

doi:10.1155/2011/481064

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

Whiting School of Engineering

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

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 language	English (US)
Article number	481064
Journal	International Journal of Biomedical Imaging
Volume	2011
DOIs	https://doi.org/10.1155/2011/481064
State	Published - 2011

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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abstract = "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.",

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AU - Kolasny, Anthony

AU - Sturgeon, Gregory M.

AU - Segars, W. Paul

AU - Miller, Michael I.

AU - Ratnanather, J. Tilak

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Patient specific dosimetry phantoms using multichannel LDDMM of the whole body

Abstract

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