The UF-MSK Computational Phantom Library for Medical Dosimetry: Pediatric Males and Females
J Baggett1*, R Dawson1, Y Wang1, W Smither1, L Dinwiddie1, S Wehmeier1, S Domal1, C Kofler2, L Carter3, J Ocampo Ramos3, P Zanzonico3, A Kesner3, W Bolch1, (1) University of Florida, Gainesville, FL, (2) University of Chicago, Chicago, IL, (3) Memorial Sloan Kettering Cancer Center, New York, NY
Presentations
TU-D1000-IePD-F8-5 (Tuesday, 7/12/2022) 10:00 AM - 10:30 AM [Eastern Time (GMT-4)]
Exhibit Hall | Forum 8
Purpose: The lack of pediatric patient-dependent phantoms creates obvious shortcomings in dosimetric calculations for pediatric populations, which are more sensitive to the effects of ionizing radiation. Here, we have developed a library of pediatric male and female mesh-based phantoms using the ICRP mesh-type reference computational phantoms (MRCP).
Methods: The library consists of 196 male and 175 female phantoms that utilized the 0-, 1-, 5-, 10- and 15-year-old ICRP reference phantoms. The target height, weight, and secondary anthropomorphic parameters were derived from data provided by the Centers of Disease Control and Prevention (CDC), making the library distinctively representative of the United States population. A combination of in-house Python scripting and 3D computer graphics software was employed to adjust the reference model’s subcutaneous fat layer to match the anthropomorphic parameters of each individual phantom. Select underweight phantoms also required a uniform two-dimensional decrease in abdominal organ size to prevent mesh-to-mesh intersections with the subcutaneous fat layer. Rotation of the arms and legs in several overweight and obese phantoms were performed to accommodate the increasing circumference of the abdomen and thighs as specified by CDC data.
Results: We successfully generated a unique 371 male and female mesh-based phantom library that is representative of the pediatric population in the United States. All height and weight parameters were matched within ±1 percent of their target values and ±2 percent for secondary parameters.
Conclusion: The development of this library provides a more patient-specific selection of the most innovative type of computational phantom that can be used for dosimetric analyses in children.
Funding Support, Disclosures, and Conflict of Interest: NIBIB U01 EB028234
Keywords
Phantoms, Radiation Dosimetry, CT
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