Tool to analyse regional changes in a time series of 2D medical images.
A tool used for the regional analysis of a time series of 2D medical images, typically X-rays or virtual X-rays (output from a computer simulation, such as those created using pyvXRAY). 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 PyQt4/PySide, pyqtgraph, numpy, PIL and matplotlib. Should work on any platform, but has only been tested on Windows.
How to use
- Load a time series of 2D medical images (in image format such as bmp, png etc).
- Use the up / down arrows below the image file list 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 Analyse option on the main toolbar
- Run the Image analysis tool from the Analyse option on the main toolbar
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|BMDanalyse-0.1.3.win32.exe (1.1 MB) Copy SHA256 hash SHA256||Windows Installer||any|
|BMDanalyse-0.1.3.win-amd64.exe (1.2 MB) Copy SHA256 hash SHA256||Windows Installer||any|
|BMDanalyse-0.1.3.zip (794.7 kB) Copy SHA256 hash SHA256||Source||None|