Literature DB >> 18649470

Hybrid computational phantoms of the 15-year male and female adolescent: applications to CT organ dosimetry for patients of variable morphometry.

Choonsik Lee1, Daniel Lodwick, Jonathan L Williams, Wesley E Bolch.   

Abstract

Currently, two classes of the computational phantoms have been developed for dosimetry calculation: (1) stylized (or mathematical) and (2) voxel (or tomographic) phantoms describing human anatomy through mathematical surface equations and three-dimensional labeled voxel matrices, respectively. Mathematical surface equations in stylized phantoms provide flexibility in phantom design and alteration, but the resulting anatomical description is, in many cases, not very realistic. Voxel phantoms display far better anatomical realism, but they are limited in terms of their ability to alter organ shape, position, and depth, as well as body posture. A new class of computational phantoms--called hybrid phantoms-takes advantage of the best features of stylized and voxel phantoms-flexibility and anatomical realism, respectively. In the current study, hybrid computational phantoms representing reference 15-year male and female body anatomy and anthropometry are presented. For the male phantom, organ contours were extracted from the University of Florida (UF) 14-year series B male voxel phantom, while for the female phantom, original computed tomography (CT) data from two 14-year female patients were used. Polygon mesh models for the major organs and tissues were reconstructed for nonuniform rational B-spline (NURBS) surface modeling. The resulting NURBS/polygon mesh models representing body contour and internal anatomy were matched to anthropometric data and reference organ mass data provided by the Centers for Disease Control and Prevention (CDC) and the International Commission on Radiation Protection (ICRP), respectively. Finally, two hybrid 15-year male and female phantoms were completed where a total of eight anthropometric data categories were matched to standard values within 4% and organ masses matched to ICRP data within 1% with the exception of total skin. To highlight the flexibility of the hybrid phantoms, 10th and 90th weight percentile 15-year male and female phantoms were further developed from the 50th percentile phantoms through adjustments in the body contour to match the total body masses given in CDC pediatric growth curves. The resulting six NURBS phantoms, male and female phantoms representing their 10th, 50th, and 90th weight percentiles, were used to investigate the influence of body fat distributions on internal organ doses following CT imaging. The phantoms were exposed to multislice chest and abdomen helical CT scans, and in-field organ absorbed doses were calculated. The results demonstrated that the use of traditional stylized phantoms yielded organ dose estimates that deviate from those given by the UF reference hybrid phantoms by up to a factor of 2. The study also showed that use of reference, or 50th percentile, phantoms to assess organ doses in underweight 15-year-old children would not lead to significant organ dose errors (typically less than 10%). However, more significant errors were noted (up to approximately 30%) when reference phantoms are used to represent overweight children in CT imaging dosimetry. These errors are expected to only further increase as one considers CT organ doses in overweight and obese individuals of the adult patient population, thus emphasizing the advantages of patient-sculptable phantom technology.

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Year:  2008        PMID: 18649470      PMCID: PMC2809721          DOI: 10.1118/1.2912178

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  14 in total

1.  Application of a sitting MIRD phantom for effective dose calculations.

Authors:  Richard H Olsher; Kenneth A Van Riper
Journal:  Radiat Prot Dosimetry       Date:  2005       Impact factor: 0.972

2.  Organ and effective doses in newborn patients during helical multislice computed tomography examination.

Authors:  Robert J Staton; Choonik Lee; Choonsik Lee; Matt D Williams; David E Hintenlang; Manuel M Arreola; Jonathon L Williams; Wesley E Bolch
Journal:  Phys Med Biol       Date:  2006-09-22       Impact factor: 3.609

3.  Assessment of abdominal fat content by computed tomography.

Authors:  G A Borkan; S G Gerzof; A H Robbins; D E Hults; C K Silbert; J E Silbert
Journal:  Am J Clin Nutr       Date:  1982-07       Impact factor: 7.045

4.  Whole-body voxel phantoms of paediatric patients--UF Series B.

Authors:  Choonik Lee; Choonsik Lee; Jonathan L Williams; Wesley E Bolch
Journal:  Phys Med Biol       Date:  2006-09-04       Impact factor: 3.609

5.  2000 CDC Growth Charts for the United States: methods and development.

Authors:  Robert J Kuczmarski; Cynthia L Ogden; Shumei S Guo; Laurence M Grummer-Strawn; Katherine M Flegal; Zuguo Mei; Rong Wei; Lester R Curtin; Alex F Roche; Clifford L Johnson
Journal:  Vital Health Stat 11       Date:  2002-05

6.  Centers for Disease Control and Prevention 2000 growth charts for the United States: improvements to the 1977 National Center for Health Statistics version.

Authors:  Cynthia L Ogden; Robert J Kuczmarski; Katherine M Flegal; Zuguo Mei; Shumei Guo; Rong Wei; Laurence M Grummer-Strawn; Lester R Curtin; Alex F Roche; Clifford L Johnson
Journal:  Pediatrics       Date:  2002-01       Impact factor: 7.124

7.  Subcutaneous and visceral fat distribution according to sex, age, and overweight, evaluated by computed tomography.

Authors:  G Enzi; M Gasparo; P R Biondetti; D Fiore; M Semisa; F Zurlo
Journal:  Am J Clin Nutr       Date:  1986-12       Impact factor: 7.045

Review 8.  Voxel-based computational models of real human anatomy: a review.

Authors:  Martin Caon
Journal:  Radiat Environ Biophys       Date:  2004-01-17       Impact factor: 1.925

Review 9.  Childhood obesity, adipose tissue distribution, and the pediatric practitioner.

Authors:  A H Slyper
Journal:  Pediatrics       Date:  1998-07       Impact factor: 7.124

10.  Anthropometric approaches and their uncertainties to assigning computational phantoms to individual patients in pediatric dosimetry studies.

Authors:  Scott Whalen; Choonsik Lee; Jonathan L Williams; Wesley E Bolch
Journal:  Phys Med Biol       Date:  2007-12-28       Impact factor: 3.609

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  23 in total

1.  The development of a population of 4D pediatric XCAT phantoms for imaging research and optimization.

Authors:  W P Segars; Hannah Norris; Gregory M Sturgeon; Yakun Zhang; Jason Bond; Anum Minhas; Daniel J Tward; J T Ratnanather; M I Miller; D Frush; E Samei
Journal:  Med Phys       Date:  2015-08       Impact factor: 4.071

2.  Hybrid computational phantoms representing the reference adult male and adult female: construction and applications for retrospective dosimetry.

Authors:  Jorge L Hurtado; Choonsik Lee; Daniel Lodwick; Timothy Goede; Jonathan L Williams; Wesley E Bolch
Journal:  Health Phys       Date:  2012-03       Impact factor: 1.316

3.  Organ doses for reference adult male and female undergoing computed tomography estimated by Monte Carlo simulations.

Authors:  Choonsik Lee; Kwang Pyo Kim; Daniel Long; Ryan Fisher; Chris Tien; Steven L Simon; Andre Bouville; Wesley E Bolch
Journal:  Med Phys       Date:  2011-03       Impact factor: 4.071

4.  Monte Carlo simulations of adult and pediatric computed tomography exams: validation studies of organ doses with physical phantoms.

Authors:  Daniel J Long; Choonsik Lee; Christopher Tien; Ryan Fisher; Matthew R Hoerner; David Hintenlang; Wesley E Bolch
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

5.  A set of 4D pediatric XCAT reference phantoms for multimodality research.

Authors:  Hannah Norris; Yakun Zhang; Jason Bond; Gregory M Sturgeon; Anum Minhas; Daniel J Tward; J T Ratnanather; M I Miller; D Frush; E Samei; W P Segars
Journal:  Med Phys       Date:  2014-03       Impact factor: 4.071

Review 6.  An exponential growth of computational phantom research in radiation protection, imaging, and radiotherapy: a review of the fifty-year history.

Authors:  X George Xu
Journal:  Phys Med Biol       Date:  2014-08-21       Impact factor: 3.609

7.  Patient-specific dose estimation for pediatric chest CT.

Authors:  Xiang Li; Ehsan Samei; W Paul Segars; Gregory M Sturgeon; James G Colsher; Donald P Frush
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

8.  The UF family of reference hybrid phantoms for computational radiation dosimetry.

Authors:  Choonsik Lee; Daniel Lodwick; Jorge Hurtado; Deanna Pafundi; Jonathan L Williams; Wesley E Bolch
Journal:  Phys Med Biol       Date:  2009-12-17       Impact factor: 3.609

9.  RADAR reference adult, pediatric, and pregnant female phantom series for internal and external dosimetry.

Authors:  Michael G Stabin; X George Xu; Mary A Emmons; W Paul Segars; Chengyu Shi; Michael J Fernald
Journal:  J Nucl Med       Date:  2012-09-11       Impact factor: 10.057

Review 10.  Risk of malignancy associated with head and neck CT in children: a systematic review.

Authors:  Jenny X Chen; Bart Kachniarz; Sapideh Gilani; Jennifer J Shin
Journal:  Otolaryngol Head Neck Surg       Date:  2014-07-22       Impact factor: 3.497

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