Choonsik Lee

Summary

Affiliation: National Institutes of Health
Country: USA

Publications

  1. pmc Computational lymphatic node models in pediatric and adult hybrid phantoms for radiation dosimetry
    Choonsik Lee
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA
    Phys Med Biol 58:N59-82. 2013
  2. pmc Organ doses for reference pediatric and adolescent patients undergoing computed tomography estimated by Monte Carlo simulation
    Choonsik Lee
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD 20852, USA
    Med Phys 39:2129-46. 2012
  3. pmc Organ doses for reference adult male and female undergoing computed tomography estimated by Monte Carlo simulations
    Choonsik Lee
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, Maryland 20852, USA
    Med Phys 38:1196-206. 2011
  4. pmc Comparison of internal dosimetry factors for three classes of adult computational phantoms with emphasis on I-131 in the thyroid
    Stephanie Lamart
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
    Phys Med Biol 56:7317-35. 2011
  5. pmc Evaluation of the use of surrogate tissues for calculating radiation dose to lymphatic nodes from external photon beams
    Stephanie Lamart
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA
    Radiat Prot Dosimetry 157:600-9. 2013
  6. pmc The UF family of reference hybrid phantoms for computational radiation dosimetry
    Choonsik Lee
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD 20852, USA
    Phys Med Biol 55:339-63. 2010
  7. ncbi request reprint Database of normalised computed tomography dose index for retrospective CT dosimetry
    Eunah Lee
    Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD 20852, USA
    J Radiol Prot 34:363-88. 2014
  8. doi request reprint Prediction of the location and size of the stomach using patient characteristics for retrospective radiation dose estimation following radiotherapy
    Stephanie Lamart
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
    Phys Med Biol 58:8739-53. 2013

Collaborators

Detail Information

Publications8

  1. pmc Computational lymphatic node models in pediatric and adult hybrid phantoms for radiation dosimetry
    Choonsik Lee
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA
    Phys Med Biol 58:N59-82. 2013
    ..By testing sensitivity of S values to random sampling and voxel resolution, we confirmed that the lymph node model is reasonably stable and consistent for different random samplings and voxel resolutions...
  2. pmc Organ doses for reference pediatric and adolescent patients undergoing computed tomography estimated by Monte Carlo simulation
    Choonsik Lee
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD 20852, USA
    Med Phys 39:2129-46. 2012
    ..The data will permit rapid estimates of organ and effective doses for patients of different age, gender, examination type, and CT scanner model...
  3. pmc Organ doses for reference adult male and female undergoing computed tomography estimated by Monte Carlo simulations
    Choonsik Lee
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, Maryland 20852, USA
    Med Phys 38:1196-206. 2011
    ..organ doses in a reference adult male and female for different scan ranges to investigate the degree to which existing commercial programs can reasonably match organ doses defined in these more anatomically realistic adult hybrid phantoms..
  4. pmc Comparison of internal dosimetry factors for three classes of adult computational phantoms with emphasis on I-131 in the thyroid
    Stephanie Lamart
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
    Phys Med Biol 56:7317-35. 2011
    ....
  5. pmc Evaluation of the use of surrogate tissues for calculating radiation dose to lymphatic nodes from external photon beams
    Stephanie Lamart
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA
    Radiat Prot Dosimetry 157:600-9. 2013
    ....
  6. pmc The UF family of reference hybrid phantoms for computational radiation dosimetry
    Choonsik Lee
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD 20852, USA
    Phys Med Biol 55:339-63. 2010
    ....
  7. ncbi request reprint Database of normalised computed tomography dose index for retrospective CT dosimetry
    Eunah Lee
    Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD 20852, USA
    J Radiol Prot 34:363-88. 2014
    ..The established CTDI database will be used for the reconstruction of CTDIvol and then the estimation of individualised organ doses for retrospective patient cohorts in epidemiologic studies. ..
  8. doi request reprint Prediction of the location and size of the stomach using patient characteristics for retrospective radiation dose estimation following radiotherapy
    Stephanie Lamart
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
    Phys Med Biol 58:8739-53. 2013
    ..Those dose calculations demonstrated good agreement between predicted and actual stomachs compared with doses derived from a reference model of the body that might be used in the absence of individual CT scan data...