Tomographic models provide currently the most realistic representation of human anatomy for radiation dosimetry calculation since they are based on medical tomography data obtained from a real human subject. Since the dose distribution in a body is affected by the physical and anatomical characteristics of the body, it is worthwhile for each racial group to have its specific human model. The project on “Formulation of the Reference Korean for Radiation Protection Purpose” has been performed by the authors since 1999. The construction of the reference Korean tomographic model was an essential part of the project. Three male models (KORMAN, KTMAN1 and KTMAN-2), and one female model (KORWOMAN) have been developed from tomography data of typical Korean healthy volunteers. The male and female subjects whose body dimension was close to average Korean values were recruited for this work. This article was intended to introduce several techniques and results accumulated at the moment. Acquisition and manipulation of medical tomographic images, CT (computed tomography) and MR (magnetic resonance), and semi-automated segmentation of organs and tissues from the images were explained. Mass of organs and tissues of the resulting Korean models were tabulated, and compared with those of Korean and Caucasian reference data. The selected results of organ dose conversion coefficients computed using Monte Carlo method were presented, and compared with those from reference Caucasian stylized model. Four Korean models are just “typical” Korean models, not “reference” models yet. In order to establish the reference Korean models, three requirements should be satisfied: body dimension and organ mass should be closer to Korean average values, voxel resolution should be so high as to represent small organs and tissues, and organ segmentation should be more sophisticated and automated. To address these requirements, 4 th male tomographic model is being constructed from whole body sectional photographs with the vertical interval of 0.2 mm, which were obtained by medical doctors in Ajou University. The authors are convinced that faster computing machine, advanced whole body scanning modality, and automated segmentation techniques will accelerate a variety of applications.
[1]
D. J. Brenner.
Conversion Coefficients for Use in Radiological Protection against External Radiation
,
1999
.
[2]
T. S. Chen,et al.
Patient risk from interproximal radiography.
,
1984,
Oral surgery, oral medicine, and oral pathology.
[3]
Martin Caon,et al.
Voxel-based computational models of real human anatomy: a review
,
2004,
Radiation and environmental biophysics.
[4]
K. F. Eckerman,et al.
Specific absorbed fractions of energy at various ages from internal photon sources: 6, Newborn
,
1987
.
[5]
W. S. Snyder,et al.
Estimates of absorbed fractions for monoenergetic photon sources uniformly distributed in various organs of a heterogeneous phantom.
,
1974,
Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[6]
W Abmayr,et al.
The calculations of dose from external photon exposures using reference and realistic human phantoms and Monte Carlo methods
,
1986
.
[7]
R. Cloutier.
Tissue Substitutes in Radiation Dosimetry and Measurement.
,
1989
.
[8]
Choonsik Lee,et al.
Korean adult male voxel model KORMAN segmented from magnetic resonance images.
,
2004,
Medical physics.
[9]
J. W. Vieira,et al.
All about FAX: a Female Adult voXel phantom for Monte Carlo calculation in radiation protection dosimetry.
,
2003,
Physics in medicine and biology.
[10]
J. Valentin.
Basic anatomical and physiological data for use in radiological protection: reference values
,
2002,
Annals of the ICRP.
[11]
Keith F. Eckerman,et al.
Mathematical models and specific absorbed fractions of photon energy in the nonpregnant adult female and at the end of each trimester of pregnancy
,
1995
.