Patient Specific Dosimetry Phantoms Using Multichannel LDDMM of the Whole Body

被引：17

作者：

Tward, Daniel J. ^{[1
]}

Ceritoglu, Can ^{[1
]}

Kolasny, Anthony ^{[1
]}

Sturgeon, Gregory M. ^{[2
,3
]}

Segars, W. Paul ^{[2
,4
]}

Miller, Michael I. ^{[1
,5
]}

Ratnanather, J. Tilak ^{[1
,5
]}

机构：

[1] Johns Hopkins Univ, Ctr Imaging Sci, Baltimore, MD 21218 USA

[2] Duke Univ, Carl E Ravin Adv Imaging Labs, Durham, NC 27705 USA

[3] Univ N Carolina, Dept Biomed Engn, Chapel Hill, NC 27599 USA

[4] Duke Univ, Med Ctr, Dept Radiol, Durham, NC 27710 USA

[5] Johns Hopkins Univ, Inst Computat Med, Baltimore, MD 21218 USA

来源：

INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING | 2011年 / 2011卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

D O I：

10.1155/2011/481064

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

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.

引用

页数：9

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