Metadata-Version: 1.1
Name: BMDanalyse
Version: 0.2.0
Summary: Tool to analyse regional changes in a time series of 2D medical images.
Home-page: http://pypi.python.org/pypi/BMDanalyse/
Author: Michael Hogg
Author-email: michael.christopher.hogg@gmail.com
License: MIT license
Download-URL: https://pypi.python.org/packages/source/B/BMDanalyse/BMDanalyse-0.2.0.zip
Description: ==========

        BMDanalyse

        ==========

        

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           :alt: Latest PyPI version

           

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        Copyright 2016, Michael Hogg (michael.christopher.hogg@gmail.com)

        

        MIT license - See LICENSE.txt for details on usage and distribution

        

        -----

        About

        -----

        

        A graphical tool used for the regional analysis of a time series of 2D medical images. This was created for the analysis of virtual x-rays, created by companion tools `bonemapy`_ and `pyvXRAY`_ from the results of a computer simulation. Intended to be used to evaluate the bone gain / loss in a number of regions of interest (ROIs) over time, typically due to bone remodelling as a result of stress shielding around an orthopaedic implant.

        

        Written in pure Python using PyQt/PySide, pyqtgraph, numpy, matplotlib and pillow. Should work on any platform, but has only been tested on Windows.

        

        .. _bonemapy: https://github.com/mhogg/bonemapy

        .. _pyvxray: https://github.com/mhogg/pyvxray

        

        ------------

        Requirements

        ------------

        

        * Python 2.7

        * PyQt >= 4.11

        * pyqtgraph >= 0.9.10

        * numpy >= 1.9

        * matplotlib >= 1.4

        * pillow >= 3.0

        

        **NOTE:** All these requirements are available within the Anaconda Python distribution

        

        --------------------

        Instructions for use

        --------------------

        

        - Load a time series of 2D medical images (in image format such as bmp, png etc). All images should be grayscale and of the same size.

        - Use the up / down arrows in the Image toolbox to place the images in chronological order. A time series of virtual X-rays is provided in the sampleMedicalImages directory. 

        - Create some Regions of Interest (ROIs) and run the ROI analysis tool from the Analysis toolbox. A plot will be generated showing the change in the average grayscale value with each ROI over time.

        - Run the Image analysis tool from the Analysis toolbox. A contour will be displayed, showing regions of bone loss in blue and bone gain in red.

        
Keywords: python,medical,image,analysis,ROIs,xray
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Scientific/Engineering :: Visualization
