Find spheres' center in CT

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

Description

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.

    Paramètres

    run_parallele: Booléen ( input )
    CT: Phantom CT ( entrée )
    jzkSpec: Phantom Spec ( entrée )
    sphdRaycast_max: ListOf( Entier ) ( input )
    verbose: Booléen ( input )

    Informations techniques

    Toolbox : Imagerie nucléaire

    Niveau d'utilisateur : 2

    Identifiant : jzkFindSphCenter_inCt

    Nom de fichier : brainvisa/toolboxes/nuclearimaging/processes/jaszczak/jzkFindSphCenter_inCt.py

    Supported file formats :

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