4D XCAT phantom for multimodality imaging research
Duke University · Duke Medical Center · +3 more institutions
Abstract
Highly detailed whole-body anatomies for the adult male and female were defined in the XCAT using nonuniform rational B-spline (NURBS) and subdivision surfaces based on segmentation of the Visible Male and Female anatomical datasets from the National Library of Medicine as well as patient datasets. Using the flexibility of these surfaces, the Visible Human anatomies were transformed to match body measurements and organ volumes for a 50th percentile (height and weight) male and female. The desired body measurements for the models were obtained using the PEOPLESIZE program that contains anthropometric dimensions categorized from 1st to the 99th percentile for US adults. The desired organ volumes were determined from ICRP Publication 89 [ICRP, "Basic anatomical and physiological data for use in radiological protection: reference values," ICRP Publication 89 (International Commission on Radiological Protection, New York, NY, 2002)]. The male and female anatomies serve as standard templates upon which anatomical variations may be modeled in the XCAT through user-defined parameters. Parametrized models for the cardiac and respiratory motions were also incorporated into the XCAT based on high-resolution cardiac- and respiratory-gated multislice CT data. To demonstrate the usefulness of the phantom, the authors show example simulation studies in PET, SPECT, and CT using publicly available simulation packages.
As demonstrated in the pilot studies, the 4D XCAT (which includes thousands of anatomical structures) can produce realistic imaging data when combined with accurate models of the imaging process. With the flexibility of the NURBS surface primitives, any number of different anatomies, cardiac or respiratory motions or patterns, and spatial resolutions can be simulated to perform imaging research.
Citation impact
- FWCI
- 25.56
- Percentile
- 100%
- References
- 37
Authors
5- WPW. Paul SegarsCorresponding
Duke University, Duke Medical Center, Duke University Hospital
- GMGregory M. Sturgeon
University of North Carolina at Chapel Hill, Duke Medical Center, Duke University Hospital
- SMS. Mendonca
Duke Medical Center, Duke University Hospital
- JGJason Grimes
Duke Medical Center, Duke University Hospital
- BTB.M.W. Tsui
Johns Hopkins University
Topics & keywords
- Imaging phantom
- Multimodality
- Medical imaging
- Dosimetry
- Medical physics
- Nuclear medicine
- Medicine
- Computer science