The UF hybrid 1-year, 5-year, and 10-year phantoms were developed in part from the patient CT images used for the construction of the UF paediatric voxel phantom series (Lee et al., 2006 (link)) and in part from newer CT datasets obtained from Shands Children's Hospital at the University of Florida (see Table 1 ). These phantoms were constructed using modeling procedures and organ identification lists given previously for the UF newborn and 15-year hybrid phantoms (Lee et al., 2007 (link); Lee et al., 2008 (link)). The naming convention for the UF phantom series begins with the identifier UFH (University of Florida Hybrid), followed by the reference phantom age in years (00, 01, 05, 10, 15, and AD for adult), and then the phantom gender (M for male and F for female). The combined gender specification MF refers to the pair of male and female phantoms at the younger ages (newborn, 1-year, 5-year, and 10-year) where all internal organ anatomy is identical with the exception of the sex organs.
As shown inTable 1 , original CT images used for the 4-year and 11-year UF voxel phantoms were reprocessed in this study for constructing hybrid phantoms representing the ICRP 89 reference 5-year and 10-year child. Patient CT image logbooks were reviewed under IRB-approved and HIPAA-compliant protocols to find the best candidates for reference phantom construction. Based on subject sex and age, a series of image sets were selected and then reviewed by the Chief of Paediatric Radiology at Shands Children's Hospital for abnormal patient anatomy (JW). All patients were scanned in a supine position with the arms raised to be out of the x-ray beam, and thus supplemental image sets were required to provide NURBS models for the skeleton of the extremities. Accordingly, separate arm bones (humerus, ulna, radius and hand bones) and leg bones (femur, patella, fibula, tibia and foot bones) were segmented from high-resolution CT images of an 18-year male cadaver and subsequently rescaled and attached to all phantoms of the series beyond the newborn. A total of 820 and 1099 images of the 18-year-old male cadaver CT datasets were semi-automatically segmented for construction of arm and leg models, respectively. Another supplementary image set was that of the cervical spine of a 15-year female patient. This image set, acquired at 0.75-mm slice thickness, yielded a far more discriminating view of the vertebral bodies and processes of the cervical spine than could be realized in existing 5-mm and 6-mm CT image sets used for the torso anatomy. Consequently, the resulting patient-specific cervical spine polygon mesh model was resized accordingly and inserted within the skeletal anatomy of all phantoms of the UF series older than the newborn.
As shown in