Simple open-source DICOM browser/viewer in Python and Qt4.
Project description
[![Latest Version](https://pypip.in/version/pydiq/badge.svg)](https://pypi.python.org/pypi/pydiq/) [![License](https://pypip.in/license/pydiq/badge.svg)](https://pypi.python.org/pypi/pydiq/) [![DOI](https://zenodo.org/badge/3862/janpipek/pydiq.png)](http://dx.doi.org/10.5281/zenodo.11480)
pydiq
Simple open-source multi-platform DICOM browser/viewer in Python and Qt.
![Vertebrae](https://raw.githubusercontent.com/janpipek/pydiq/master/doc/vertebra.png “Vertebrae”)
Features
Easy (and fast) viewing of all images in a directory
Zooming (1:N and N:1)
Mouse control of window center and width (as in Aeskulap Viewer)
Proper measurement of Hounsfield units and position by mouse
PNG image export
To Do
Better zooming
Better MRI images support
RT dose images support
View in different planes (rectangular + others)
Coordinate mapping (using translation and rotation matrix)
Integration of anonymization features (see https://github.com/janpipek/anonymize_dicom )
Information from the DICOM file in user-friendly display
Dependencies
Python 3 / Python 2.7 (not tested)
qtpy (and therefore PyQt4 / PyQt5 / PySide)
pydicom (0.9.9, maybe also 1.0)
Tested on Linux and Windows.
Installation
The easiest way is pip install pydiq.
Limitations
Currently, the viewer supports only Computed Radiography (CR), Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) images with normal orientation (x, y, z) in one-slice-per-file format.
Project details
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