Analysis package written in Python to analyze MRI phantoms developed by NIST and collaborators at NCI, RSNA, NIBIB
Created on Fri Oct 11 16:30:54 2013
PhantomViewer: Main class to display and analyze phantom data, mostly MRI data
Modules required (can be installed using 'pip install package' or 'pip install package --upgrade': verify module version using "pip show module"
Required Modules
Anaconda 3 with Python 3.7 (64 bit, Python, PyQT5, Numpy, Scipy, Pillow )
pydicom Version: 1.4.2: (for DICOM file import/export)
pyqtgraph Version: 0.10.0 (for plotting and image windows)
lmfit Version: 1.0.0 (for nonlinear least squares fitting routines)
Optional Modules unwrap Version: 0.1.1 (for phase unwrapping)
scikit-image Version: 0.11.3: uses unwrap_phase from skimage.resoration
PyOpenGL (Used for 3D plotting)
Will work with Anaconda 2, Python 2.7.11, PYQT4 (not recommended)
The main Gui is PhantomViewerGui5.py created from PhantomViewer.ui by Qt Designer
You can convert ui file to python by executing (this is not necessary unless you are modifying the GUI):
"designer\pyuic4 designer\PhantomViewerGui.ui -o PhantomViewerpy\PhantomViewerGui4.py"
or "designer\pyuic5 designer\PhantomViewerGui.ui -o PhantomViewerpy\PhantomViewerGui5.py"
from system shell to regenerate PhantomViewerGui.py from PhantomViewerGui.ui
@author: Stephen Russek
Units: times in ms, distances in mm, ADC in mm2/s, Temperature in C,
VPhantom: class to describe phantoms, several virtual phantoms, including the NIST/ISMRM system phantom are available. PV structure is shown below:
