Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,287

The DOI matches its Crossref record.

4D XCAT phantom for multimodality imaging research

Open access
Segars, W. P., Sturgeon, G., Mendonca, S., Grimes, Jason, Tsui, B. M. W.·2010·Medical Physics

Abstract

Purpose: : The authors develop the 4D extended cardiac‐torso (XCAT) phantom for multimodality imaging research. Methods: 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. Results: 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. Conclusions: With the ability to produce realistic, predictive 3D and 4D imaging data from populations of normal and abnormal patients under various imaging parameters, the authors conclude that the XCAT provides an important tool in imaging research to evaluate and improve imaging devices and techniques. In the field of x‐ray CT, the phantom may also provide the necessary foundation with which to optimize clinical CT applications in terms of image quality versus radiation dose, an area of research that is becoming more significant with the growing use of CT.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1118/1.3480985

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,287

Metadata

Authors
Segars, W. P., Sturgeon, G., Mendonca, S., Grimes, J., & Tsui, B. M. W.
Venue
Medical Physics
Publisher
Wiley
Published
2010-08-24
Volume
37
Issue
9
Pages
4902-4915
ISSN
  • 0094-2405 (ISSN-L)
  • 2473-4209
OpenAlex
W1983281817
Cited by
1,287
References
0
FWCI
18.02
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: 4D XCAT phantom for multimodality imaging research. https://app.cochat.ai/papers/10.1118/1.3480985
The paper
Segars, W. P., Sturgeon, G., Mendonca, S., Grimes, J., & Tsui, B. M. W. (2010). 4D XCAT phantom for multimodality imaging research. Medical Physics. https://doi.org/10.1118/1.3480985

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.