Find spheres' center in CT

Segment spheres of the CT image allows you to find each center of spheres
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Description

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First find Palette bounds using :

  • an approximative center of the biggest sphere (given by the user, or deduced thanks to the corresponding PET image)
  • then launch ray from this approximative center to find a more precise center
  • keep a sub volume of this biggest sphere, to have only the sphere (no sphere support)
  • and finally thanks to the known volume of the biggest sphere, find the correct threshold

    • Secondly find each sphere using :

  • palette bounds for threshold to apply to the Hough Algorithm.
  • also, approximative sphere centers are used, but just like an optimisation for Hough Algorithm, selecting a subVolume bounding each sphere.

    • Finally build an ROI for each sphere, thanks to the found centers and Jaszczak specifications.

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    Parameters

    run_parallele: Boolean ( input )
    CT: Phantom CT ( input )
    jzkSpec: Phantom Spec ( input )
    sphdRaycast_max: ListOf( Integer ) ( input )
    verbose: Boolean ( input )

    Technical information

    Toolbox : Nuclear Imaging

    User level : 2

    Identifier : jzkFindSphCenter_inCt

    File name : brainvisa/toolboxes/nuclearimaging/processes/jaszczak/jzkFindSphCenter_inCt.py

    Supported file formats :

    CT :
    NIFTI-1 image, NIFTI-1 image
    jzkSpec :
    CSV file, CSV file