The minimal command line call would be dcm2niix /path/to/dicom/folder. RunningĬommand line usage is described in the NITRC wiki. Contributeĭcm2niix is developed by the community for the community and everybody can become a part of the community. See the VERSIONS.md file for details on earlier releases. Regardless of how you compile dcm2niix, it can use the external program pigz for parallel compression. Alternatively, you can compile dcm2niix without a gzip compressor.

Of particular note, the Cloudflare zlib exploits modern hardware (available since 2008) for very rapid compression. nii.gz images) is optional, and can be provided using either the included miniz or the popular zlib. JPEG2000 lossy and lossless support is optional, and can be provided using OpenJPEG or Jasper.JPEG-LS lossless support is optional, and can be provided by using CharLS.This support is modular: you can compile for libjpeg-turbo or disable it altogether. Lossy JPEG is handled by the included NanoJPEG.The base code includes support for raw, run-length encoded, and classic JPEG lossless decoding.The COMPILE.md file describes details on how to enable different options to provide support for more formats. Image Conversion and CompressionĭICOM provides many ways to store/compress image data, known as transfer syntaxes. You can get a version of both dcm2niix and pigz compiled for your operating system by downloading MRIcroGL.

However, if you use dcm2niix to create gz-compressed images it will be faster if you have pigz installed. This software should run on macOS, Linux and Windows typically without requiring any other software. See the license.txt file for more details.

Some units are either public domain (nifti*.*, miniz.c) or use the MIT license (ujpeg.cpp). The bulk of the code is covered by the BSD license. The Neuroimaging DICOM and NIfTI Primer provides details. dcm2niix is also able to generate a BIDS JSON format sidecar which includes relevant information for brain scientists in a vendor agnostic and human readable form. However, this simplicity also imposes limitations (e.g. The NIfTI format is popular with scientists, it is very simple and explicit. However, DICOM is very complicated and has been interpreted differently by different vendors. The DICOM format is the standard image format generated by modern medical imaging devices. A full manual for this software is available in the form of a NITRC wiki. This web page hosts the developmental source code - a compiled version for Linux, MacOS, and Windows of the most recent stable release is included with MRIcroGL. Dcm2niix is designed to convert neuroimaging data from the DICOM format to the NIfTI format.

Dicom download mac