lcayer / dcm2niix

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

Home Page:https://www.nitrc.org/plugins/mwiki/index.php/dcm2nii:MainPage

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Build Status Build status

About

dcm2niix is a designed to convert neuroimaging data from the DICOM format to the NIfTI format. 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. A full manual for this software is available in the form of a NITRC wiki.

License

This software is open source. The bulk of the code is covered by the BSD license. Some units are either public domain (nifti*.*, miniz.c) or use the MIT license (ujpeg.cpp). See the license.txt file for more details.

Versions

11-April-2017

7-Feb-2017

  • Can be compiled to use either Philips Float or Display intensity intercept and slope values.
  • Handle 3D Philips DICOM and PAR/REC files where images are not stored in a spatially contiguous order.
  • Handle DICOM violations where icon is uncompressed but image data is compressed.
  • Best guess matrix for 2D slices (similar to dcm2nii, SPM and MRIconvert).
  • Linux (case sensitive filenames) now handles par/rec as well as PAR/REC.
  • Images with unknown phase encoding do not generate BIDS entry.
  • Unified printMessage/printWarning/printError aids embedding in other projects, such as divest.

1-Nov-2016

  • AppVeyor Support (Ningfei Li & Chris Filo Gorgolewski)
  • Swap 3rd/4th dimensions for GE sequential multi-phase acquisitions (Niels Janssen).

10-Oct-2016

  • Restores/improves building for the Windows operating system using MinGW.

30-Sept-2016

  • Save ImageType (0x0008,0x0008) to BIDS.
  • Separate CT scans with different exposures.
  • Fixed issues where some compilers would generate erratic filenames for zero-padded series (e.g. "-f %3s").

21-Sept-2016

  • Reduce verbosity (reduce number of repeated warnings, less scary warnings for derived rather than raw images).
  • Re-enable custom output directory "-o" option broken by 30-Apr-2016 version.
  • Deal with mis-behaved GE CT images where slice direction across images is not consistent.
  • Add new BIDS fields (field strength, manufacturer, etc).
  • Philips PAR/REC conversion now reports inconsistent requested vs measured TR (due to prospect. motion corr.?).
  • GE: Locations In Acquisition (0054, 0081) is inaccurate if slices are interpolated, use Images In Acquisition (0020,1002) if available.
  • New filename options %d Series description (0008,103E), %z Sequence Name (0018,0024).
  • New filename options %a antenna (coil) number, %e echo number.
  • Initialize unused portions of NIfTI header to zero so multiple runs always produce identical results.
  • Supports 3D lossless JPEG saved as multiple fragments.

5-May-2016

  • Crop 3D T1 acquisitions (e.g. ./dcm2niix -x y ~/DICOM).

30-Apr-2016

  • Convert multiple files/folders with single command line invocation (e.g. ./dcm2niix -b y ~/tst ~/tst2).

22-Apr-2016

  • Detect Siemens Phase maps (phase image names end with "_ph").
  • Use current working directory if file name not specified.

12-Apr-2016

  • Provide override (command line option "-m y") to stack images of the same series even if they differ in study date/time, echo/coil number, or slice orientation. This mechanism allows users to concatenate images that break strict DICOM compliance.

22-Mar-2016

12-Dec-2015

  • Support PAR/REC FP values when possible (see PMC3998685).

11-Nov-2015

  • Minor refinements.

12-June-2015

  • Uses less memory (helpful for large datasets).

2-Feb-2015

  • Support for Visual Studio.
  • Remove dependency on zlib (now uses miniz).

1-Jan-2015

  • Images separated based on TE (fieldmaps).
  • Support for JPEG2000 using OpenJPEG or Jasper libraries.
  • Support for JPEG using NanoJPEG library.
  • Support for lossless JPEG using custom library.

24-Nov-2014

  • Support for CT scans with gantry tilt and varying distance between slices.

11-Oct-2014

  • Initial public release.

Running

Command line usage is described in the NITRC wiki. The minimal command line call would be dcm2niix /path/to/dicom/folder. However, you may want to invoke additional options, for example the call dcm2niix -z y -f %p_%t_%s -o /path/ouput /path/to/dicom/folder will save data as gzip compressed, with the filename based on the protocol name (%p) acquisition time (%t) and DICOM series number (%s), with all files saved to the folder "output". For more help see help: dcm2niix -h.

Optional batch processing version:

Perform a batch conversion of multiple dicoms using the configurations specified in a yaml file.

dcm2niibatch batch_config.yml

The configuration file should be in yaml format as shown in example batch_config.yaml

Options:
  isGz:             false
  isFlipY:          false
  isVerbose:        false
  isCreateBIDS:     false
  isOnlySingleFile: false
Files:
    -
      in_dir:           /path/to/first/folder
      out_dir:          /path/to/output/folder
      filename:         dcemri
    -
      in_dir:           /path/to/second/folder
      out_dir:          /path/to/output/folder
      filename:         fa3

You can add as many files as you want to convert as long as this structure stays consistent. Note that a dash must separate each file.

Build

Build command line version with cmake (Linux, Windows, MacOS)

mkdir build && cd build
cmake ..
make

dcm2niix will be created in the bin subfolder. To install on the system run make install.

optional batch processing version:

The batch processing binary dcm2niibatch is optional. To build dcm2niibatch as well change the cmake command to cmake -DBATCH_VERSION=ON ..

This requires the following libraries:

  • pkg-config
  • yaml-cpp
  • a compiler that supports c++11

e.g. the dependencies can be installed as follows:

Ubuntu 14.04

sudo apt-get install pkg-config libyaml-cpp-dev libyaml-cpp0.5 cmake libboost-dev

MacOS

brew install pkg-config yaml-cpp cmake

Building the command line version without cmake

See the COMPILE.md file for details on manual compilation.

About

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

https://www.nitrc.org/plugins/mwiki/index.php/dcm2nii:MainPage

License:Other


Languages

Language:C 57.9%Language:C++ 33.8%Language:Pascal 4.3%Language:CMake 2.7%Language:Objective-C 1.1%Language:QMake 0.1%Language:Shell 0.1%Language:Makefile 0.0%