Literature DB >> 25144322

The UF/NCI family of hybrid computational phantoms representing the current US population of male and female children, adolescents, and adults--application to CT dosimetry.

Amy M Geyer1, Shannon O'Reilly, Choonsik Lee, Daniel J Long, Wesley E Bolch.   

Abstract

Substantial increases in pediatric and adult obesity in the US have prompted a major revision to the current UF/NCI (University of Florida/National Cancer Institute) family of hybrid computational phantoms to more accurately reflect current trends in larger body morphometry. A decision was made to construct the new library in a gridded fashion by height/weight without further reference to age-dependent weight/height percentiles as these become quickly outdated. At each height/weight combination, circumferential parameters were defined and used for phantom construction. All morphometric data for the new library were taken from the CDC NHANES survey data over the time period 1999-2006, the most recent reported survey period. A subset of the phantom library was then used in a CT organ dose sensitivity study to examine the degree to which body morphometry influences the magnitude of organ doses for patients that are underweight to morbidly obese in body size. Using primary and secondary morphometric parameters, grids containing 100 adult male height/weight bins, 93 adult female height/weight bins, 85 pediatric male height/weight bins and 73 pediatric female height/weight bins were constructed. These grids served as the blueprints for construction of a comprehensive library of patient-dependent phantoms containing 351 computational phantoms. At a given phantom standing height, normalized CT organ doses were shown to linearly decrease with increasing phantom BMI for pediatric males, while curvilinear decreases in organ dose were shown with increasing phantom BMI for adult females. These results suggest that one very useful application of the phantom library would be the construction of a pre-computed dose library for CT imaging as needed for patient dose-tracking.

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Year:  2014        PMID: 25144322      PMCID: PMC6686860          DOI: 10.1088/0031-9155/59/18/5225

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  38 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.  Fluoroscopy X-Ray Organ-Specific Dosimetry System (FLUXOR) for Estimation of Organ Doses and Their Uncertainties in the Canadian Fluoroscopy Cohort Study.

Authors:  A Iulian Apostoaei; Brian A Thomas; F Owen Hoffman; David C Kocher; Kathleen M Thiessen; David Borrego; Choonsik Lee; Steven L Simon; Lydia B Zablotska
Journal:  Radiat Res       Date:  2021-04-01       Impact factor: 2.841

3.  Advances in Computational Human Phantoms and Their Applications in Biomedical Engineering - A Topical Review.

Authors:  Wolfgang Kainz; Esra Neufeld; Wesley E Bolch; Christian G Graff; Chan Hyeong Kim; Niels Kuster; Bryn Lloyd; Tina Morrison; Paul Segars; Yeon Soo Yeom; Maria Zankl; X George Xu; Benjamin M W Tsui
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2019-01

4.  ORGAN DOSE ESTIMATION ACCOUNTING FOR UNCERTAINTY FOR PEDIATRIC AND YOUNG ADULT CT SCANS IN THE UNITED KINGDOM.

Authors:  Choonsik Lee; Neige Journy; Brian E Moroz; Mark Little; Richard Harbron; Kieran McHugh; Mark Pearce; Amy Berrington de Gonzalez
Journal:  Radiat Prot Dosimetry       Date:  2019-07-01       Impact factor: 0.972

5.  Conversion of computational human phantoms into DICOM-RT for normal tissue dose assessment in radiotherapy patients.

Authors:  Keith T Griffin; Matthew M Mille; Christopher Pelletier; Mahesh Gopalakrishnan; Jae Won Jung; Choonik Lee; John Kalapurakal; Anil Pyakuryal; Choonsik Lee
Journal:  Phys Med Biol       Date:  2019-07-05       Impact factor: 3.609

6.  A feasibility study to reduce misclassification error in occupational dose estimates for epidemiological studies using body size-dependent computational phantoms.

Authors:  Sarah Kim; Lienard Chang; Elizabeth Mosher; Choonik Lee; Choonsik Lee
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2018-06-15

Review 7.  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

8.  Estimation of Radiation Dose in CT Based on Projection Data.

Authors:  Xiaoyu Tian; Zhye Yin; Bruno De Man; Ehsan Samei
Journal:  J Digit Imaging       Date:  2016-10       Impact factor: 4.056

9.  Individualized adjustments to reference phantom internal organ dosimetry-scaling factors given knowledge of patient external anatomy.

Authors:  Michael B Wayson; Wesley E Bolch
Journal:  Phys Med Biol       Date:  2018-04-13       Impact factor: 3.609

10.  Machine learning for the prediction of pseudorealistic pediatric abdominal phantoms for radiation dose reconstruction.

Authors:  Marco Virgolin; Ziyuan Wang; Tanja Alderliesten; Peter A N Bosman
Journal:  J Med Imaging (Bellingham)       Date:  2020-07-30
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