dwilib

Tools in development to support analysis of Diffusion-weighted imaging (DWI) data, with focus on prostate cancer.

Input data can be provided in DICOM or custom ASCII or MATLAB format.

This software is being developed as part of a research project at University of Turku.

Features

Perform model fitting (Monoexponential ADC, Kurtosis, Stretched exponential, Biexponential)
Calculate correlation by Gleason scores
Calculate and compare diagnostic ROC AUCs
Calculate reproducibility measures
Plotting schemes
Viewer for multi-slice, multi-b-value DWI DICOM files (uses the Matplotlib GUI widget)

Name		Name	Last commit message	Last commit date
Latest commit History 148 Commits
dwi		dwi
tools		tools
LICENSE		LICENSE
README.md		README.md
compare_auc.py		compare_auc.py
compare_boxplot.py		compare_boxplot.py
compare_hist.py		compare_hist.py
compare_pmaps.py		compare_pmaps.py
correlation.py		correlation.py
draw_boxplot.py		draw_boxplot.py
draw_pmap.py		draw_pmap.py
draw_pmaps.py		draw_pmaps.py
draw_roc.py		draw_roc.py
find_roi.py		find_roi.py
info.py		info.py
make_ascii.py		make_ascii.py
plot.py		plot.py
plot_gleason.py		plot_gleason.py
pmap.py		pmap.py
reproducibility.py		reproducibility.py
test-rls.py		test-rls.py
view_dicom.py		view_dicom.py