espadon-package: espadon: Easy Study of Patient DICOM Data in Oncology

espadon-packageR Documentation

espadon: Easy Study of Patient DICOM Data in Oncology

Description

Exploitation, processing and 2D-3D visualization of DICOM-RT files (structures, dosimetry, imagery) for medical physics and clinical research, in a patient-oriented perspective.

espadon works in a native way (user friendly):

  • on images (CT, MR, PT) and fully manages changes of referential (REG)

  • on dosimetry (rt-dose)

  • on structures (rt-struct)

It is also able to use any DICOM format file, as long as the user knows where to look for the information. In addition to the simplified use of the above-mentioned formats, espadon contains many functions that allow the user to rework documents to produce new features that can be integrated into machine learning.

espadon integrates functionalities:

  • file loading, patient-centered information fusion

  • handling of 3D images

    • changes of referential

    • resampling, filtering

  • Contour manipulation, allowing the creation of new contours

    • fusion, intersection, inversion, erosion, dilation, opening, closing

    • segmentation based on the image

  • 2D representation

    • with application of masks

    • and transport of structures in the new reference frames

  • ... and 3D

    • production of mesh for the representation

  • for measurements

    • calculation of histograms (1D, 2D), DVH (integrating Monte-Carlo to simulate organ movements)

    • Measurement of surfaces, radii of curvature (on the mesh) and volumes

  • measurement of standard dosimetry indicators

In the calculation flow, various objects are created and accessible to the developer for his own use.

Author(s)

Maintainer: Cathy Fontbonne contact.espadon@lpccaen.in2p3.fr (LPC-CAEN, France)

Authors:

  • Jean-Marc Fontbonne (LPC-CAEN, France)

Other contributors:

  • Nathan Azemar (LPC-CAEN, France) [contributor]

Cathy & Jean-Marc Fontbonne

See Also

Useful links:


espadon documentation built on April 11, 2025, 5:57 p.m.