Creating and managing virtual environments
Dataset basics: read, access, modify, write
Compressing
Pixel Data
Waveforms
DICOM File-sets and DICOMDIR
Structured Reporting
Introduction to JSON support
Contributing a source code change
Contributing a documentation change
Guides
API Reference
Examples
General examples
Image processing
Input-output
Metadata processing
Additional Information
Contributing to pydicom
Frequently asked questions
Release notes
We recommend installing into a
virtual environment
,
which is an isolated Python environment that allows you to install
packages without admin privileges. See the
virtual environments tutorial
on how to create and
manage virtual environments.
Install the official release
pydicom
, being a Python library, requires
Python
. If you’re not sure whether or not your version of
Python is supported, check
this table
.
Install using pip
pydicom
is available on
PyPI
, the
official third-party Python software repository. The simplest way to install
from PyPI is using
pip
with the command:
pip install pydicom
You may need to use this instead, depending on your operating system:
python -m pip install pydicom
You can also perform an offline installation by
downloading and installing
one of the release *.whl
files. For example, with the v2.0 release:
pip install pydicom-2.0.0-py3-none-any.whl
Downloading example/test DICOM files
To keep the package size small, a number of the larger DICOM files are not
distributed with pydicom and are instead kept in the
pydicom-data repository. To get the complete set of
testing and example files you can either install the pydicom-data repository:
pip install git+https://github.com/pydicom/pydicom-data
Or download the missing files to the local cache (after installing pydicom):
python -c "import pydicom; pydicom.data.fetch_data_files()"
Install the optional libraries
If you’re going to be manipulating pixel data then
NumPy is required.
Using pip:
pip install numpy
Through conda:
conda install numpy
To decode JPEG compressed pixel data one or more additional libraries will
need to be installed. See this page for a list of
which library is needed to handle a given JPEG format, as specified by
the dataset’s (0002,0010) Transfer Syntax UID value.
Installing Pillow
Pillow is a popular Python imaging library
that can handle the decompression of some JPEG and JPEG 2000 images.
Using pip; you may need to make sure that the
libjpeg (for JPEG) and
openjpeg (for JPEG 2000) libraries are installed
beforehand:
pip install pillow
Through conda:
conda install -c conda-forge openjpeg jpeg
conda install pillow
pyjpegls is a Python interface to
the CharLS C++ library and can
decompress JPEG-LS images. It is a fork of CharPyLS
created to provide compatibility with the latest Python versions.
Using pip:
pip install pyjpegls
Through conda:
conda install cython
pip install git+https://github.com/pydicom/pyjpegls
Installing GDCM
GDCM is a C++ library for working with
DICOM datasets that can decompress JPEG, JPEG-LS and JPEG 2000 images.
The wheels on PyPI are built by the
python-gdcm project for current
versions of Python on Windows, MacOS and Linux, and can be installed using pip:
pip install python-gdcm
The wheels available through conda-forge
tend to be older versions and not as well supported. They’re available on conda using:
conda install gdcm -c conda-forge
Installing pylibjpeg
pylibjpeg is a Python framework for
decompressing JPEG, JPEG-LS, JPEG 2000 images and compressing or decompressing
RLE images provided a suitable plugin is installed.
Using pip:
pip install -U pylibjpeg[all]
Install the development version
To install a snapshot of the latest code (the master
branch) from
GitHub:
pip install git+https://github.com/pydicom/pydicom
The master
branch is under active development and while it is usually
stable, it may have undocumented changes or bugs.
If you want to keep up-to-date with the latest code, make sure you have
Git installed and then clone the master
branch (this will create a pydicom
directory in your current directory):
git clone --depth=1 https://github.com/pydicom/pydicom.git
Then install using pip in editable (-e
) mode:
pip install -e pydicom/
When you want to update your copy of the source code, run git pull
from
within the pydicom
directory and Git will download and apply any changes.