SU-E-P-59: A Graphical Interface for XCAT Phantom Configuration, Generation and Processing

Authors

  • Myronakis M,

    1. Brigham and Women's Hospital, Boston, MA
    2. Brigham and Women's Hospital, Boston, MA
    3. Brigham and Women's Hospital, Boston, MA
    4. Brigham and Women's Hospital, Boston, MA
    5. Newton, MA
    6. Brigham and Women's Hospital, Boston, MA
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  • Cai W,

    1. Brigham and Women's Hospital, Boston, MA
    2. Brigham and Women's Hospital, Boston, MA
    3. Brigham and Women's Hospital, Boston, MA
    4. Brigham and Women's Hospital, Boston, MA
    5. Newton, MA
    6. Brigham and Women's Hospital, Boston, MA
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  • Dhou S,

    1. Brigham and Women's Hospital, Boston, MA
    2. Brigham and Women's Hospital, Boston, MA
    3. Brigham and Women's Hospital, Boston, MA
    4. Brigham and Women's Hospital, Boston, MA
    5. Newton, MA
    6. Brigham and Women's Hospital, Boston, MA
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  • Cifter F,

    1. Brigham and Women's Hospital, Boston, MA
    2. Brigham and Women's Hospital, Boston, MA
    3. Brigham and Women's Hospital, Boston, MA
    4. Brigham and Women's Hospital, Boston, MA
    5. Newton, MA
    6. Brigham and Women's Hospital, Boston, MA
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  • Hurwitz M,

    1. Brigham and Women's Hospital, Boston, MA
    2. Brigham and Women's Hospital, Boston, MA
    3. Brigham and Women's Hospital, Boston, MA
    4. Brigham and Women's Hospital, Boston, MA
    5. Newton, MA
    6. Brigham and Women's Hospital, Boston, MA
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  • Lewis J

    1. Brigham and Women's Hospital, Boston, MA
    2. Brigham and Women's Hospital, Boston, MA
    3. Brigham and Women's Hospital, Boston, MA
    4. Brigham and Women's Hospital, Boston, MA
    5. Newton, MA
    6. Brigham and Women's Hospital, Boston, MA
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Abstract

Purpose:

To design a comprehensive open-source, publicly available, graphical user interface (GUI) to facilitate the configuration, generation, processing and use of the 4D Extended Cardiac-Torso (XCAT) phantom.

Methods:

The XCAT phantom includes over 9000 anatomical objects as well as respiratory, cardiac and tumor motion. It is widely used for research studies in medical imaging and radiotherapy. The phantom generation process involves the configuration of a text script to parameterize the geometry, motion, and composition of the whole body and objects within it, and to generate simulated PET or CT images. To avoid the need for manual editing or script writing, our MATLAB-based GUI uses slider controls, drop-down lists, buttons and graphical text input to parameterize and process the phantom.

Results:

Our GUI can be used to: a) generate parameter files; b) generate the voxelized phantom; c) combine the phantom with a lesion; d) display the phantom; e) produce average and maximum intensity images from the phantom output files; f) incorporate irregular patient breathing patterns; and f) generate DICOM files containing phantom images. The GUI provides local help information using tool-tip strings on the currently selected phantom, minimizing the need for external documentation. The DICOM generation feature is intended to simplify the process of importing the phantom images into radiotherapy treatment planning systems or other clinical software.

Conclusion:

The GUI simplifies and automates the use of the XCAT phantom for imaging-based research projects in medical imaging or radiotherapy. This has the potential to accelerate research conducted with the XCAT phantom, or to ease the learning curve for new users. This tool does not include the XCAT phantom software itself.

We would like to acknowledge funding from MRA, Varian Medical Systems Inc.

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