dna-medical

XMedCon – open source toolkit for medical image conversion

(X)MedCon (Medical Image Conversion) is an open source medical image conversion tool and library.

Its main purpose is image conversion and in particular for reconstructed nuclear medicine images.

The program also allows to read unsupported files without compression, to print pixel values or to extract/reorder specified images. It is possible to retrieve the raw binary/ascii image arrays or to write PNG for desktop applications.

The project is about a framework specifically designed to resolve the complexities involved with conversion of medical image formats. It offers:

  • xmedcon: A graphical user interface (GUI) to assist novices, given the immediate visual control on selected options.
  • medcon: The command line interface (CLI) is aimed at the more experienced user, who needs batch conversion or usage within scripted environments.
  • library: The Application Programming Interface (API) makes it possible for coders of existing tools, to easily increase the number of supported image formats.

Features include:

  • Printout header information or pixel values.
  • Simple image processing: Extract, reverse, flip or square image matrices.
  • Read raw image arrays from unsupported formats.
  • Hack files with Acr/Nema tags.
  • Read gzipped or compressed files directly.
  • Simple reslice into transverse, sagittal or coronal view.
  • Select output file endian.
  • Alter patient, modality, dimension and orientation specifications.
  • Batch conversion.
  • Supported formats:
    • ACR/NEMA 2.0.
    • Analyze (AVW, Mayo and SPM).
    • Concorde microPET.
    • DICOM 3.0 (uncompressed, lossless JPEG or RLE).
    • CTI ECAT 6 and 7.
    • GIF87a/89a.
    • InterFile 3.3 (including GSPECT proposal, PET dialects).
    • INW.
    • PNG.

Website: xmedcon.sourceforge.io
Support: Documentation, FAQ
Developer: E. Nolf, T. Voet, A. Loening, R. M. Rutschmann, M. Zaitsev, B. Jaslet, B. Jaslet
License: GNU General Public License v2.0

XmedCon

XMedCon is written in C. Learn C with our recommended free books and free tutorials.

Return to Medical Imaging


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