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Data
Data
 
 
Kidney_Masks
Kidney_Masks
 
 
Kidney_Measurements
Kidney_Measurements
 
 
Vessel_Masks
Vessel_Masks
 
 
Vessel_Measurements
Vessel_Measurements
 
 
__pycache__
__pycache__
 
 
resources
resources
 
 
.RData
.RData
 
 
.Rhistory
.Rhistory
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
3d_figures_correction.R
3d_figures_correction.R
 
 
3d_spectral_analyses.ipynb
3d_spectral_analyses.ipynb
 
 
CNR_angio_Kedge_plot.png
CNR_angio_Kedge_plot.png
 
 
CNR_organs_Kedge_plot.png
CNR_organs_Kedge_plot.png
 
 
Data_stats.R
Data_stats.R
 
 
Data_wrangling.R
Data_wrangling.R
 
 
Data_wrangling2.R
Data_wrangling2.R
 
 
Figure1.R
Figure1.R
 
 
Figure1_final.R
Figure1_final.R
 
 
Figure2.R
Figure2.R
 
 
Figure4.R
Figure4.R
 
 
Final_Stats.xlsx
Final_Stats.xlsx
 
 
README.md
README.md
 
 
R_angio.R
R_angio.R
 
 
R_legend.R
R_legend.R
 
 
R_stats.R
R_stats.R
 
 
Regularization_testing.R
Regularization_testing.R
 
 
Rplot.png
Rplot.png
 
 
Rplot01.png
Rplot01.png
 
 
SPCCT_4D.py
SPCCT_4D.py
 
 
averaged_data.csv
averaged_data.csv
 
 
averaged_data2.csv
averaged_data2.csv
 
 
blood_pool_plot.png
blood_pool_plot.png
 
 
clean_image.pdf
clean_image.pdf
 
 
cnr_adjustments.csv
cnr_adjustments.csv
 
 
combined_plot.png
combined_plot.png
 
 
combined_plot_t1.png
combined_plot_t1.png
 
 
combined_plot_with_errorbars.png
combined_plot_with_errorbars.png
 
 
combined_plots.png
combined_plots.png
 
 
cortex_comparison.R
cortex_comparison.R
 
 
curve_stats.csv
curve_stats.csv
 
 
curve_stats_HU.csv
curve_stats_HU.csv
 
 
dataframe-LAPTOP-U0GCTR6J.csv
dataframe-LAPTOP-U0GCTR6J.csv
 
 
dataframe.csv
dataframe.csv
 
 
figure3
figure3
 
 
figure3.R
figure3.R
 
 
final_vesselcomparison.R
final_vesselcomparison.R
 
 
imputated_data.csv
imputated_data.csv
 
 
imputated_data2.csv
imputated_data2.csv
 
 
inorganic_salt_costs.xlsx
inorganic_salt_costs.xlsx
 
 
internship_M2 - Shortcut.lnk
internship_M2 - Shortcut.lnk
 
 
internship_M2.Rproj
internship_M2.Rproj
 
 
intra-kidney_stats.csv
intra-kidney_stats.csv
 
 
intra-kidney_stats_HU.csv
intra-kidney_stats_HU.csv
 
 
inventory_masks.docx
inventory_masks.docx
 
 
kidney_comparison_correction.R
kidney_comparison_correction.R
 
 
kidney_comparison_correction_right.R
kidney_comparison_correction_right.R
 
 
kidney_stats.csv
kidney_stats.csv
 
 
main.py
main.py
 
 
mean_data2.csv
mean_data2.csv
 
 
mean_intensityprojection_kedge.pdf
mean_intensityprojection_kedge.pdf
 
 
medulla_comparison.R
medulla_comparison.R
 
 
notebook copy 2.ipynb
notebook copy 2.ipynb
 
 
notebook copy.ipynb
notebook copy.ipynb
 
 
notebook.ipynb
notebook.ipynb
 
 
organ_figures.R
organ_figures.R
 
 
output_plot.png
output_plot.png
 
 
output_plot_cortex.png
output_plot_cortex.png
 
 
output_plot_left.png
output_plot_left.png
 
 
output_plot_medulla.png
output_plot_medulla.png
 
 
output_plot_pelvis.png
output_plot_pelvis.png
 
 
packageMyocardial.py
packageMyocardial.py
 
 
pelvis_comparison.R
pelvis_comparison.R
 
 
phantom
phantom
 
 
phantom_analyses.R
phantom_analyses.R
 
 
phantom_relativevsabs
phantom_relativevsabs
 
 
prelim_phantom.csv
prelim_phantom.csv
 
 
prelim_phantom.xlsx
prelim_phantom.xlsx
 
 
pyKOLOR.py
pyKOLOR.py
 
 
raw_data2.csv
raw_data2.csv
 
 
raw_metrics.xlsx
raw_metrics.xlsx
 
 
raw_metrics_burro.xlsx
raw_metrics_burro.xlsx
 
 
raw_metrics_organs.xlsx
raw_metrics_organs.xlsx
 
 
renal_conventional_mip--983to2067.pdf
renal_conventional_mip--983to2067.pdf
 
 
renal_kedge_mip-29.02mgml.pdf
renal_kedge_mip-29.02mgml.pdf
 
 
requirements.txt
requirements.txt
 
 
rotating_coronal_mip.gif
rotating_coronal_mip.gif
 
 
test_aguix_pha.csv
test_aguix_pha.csv
 
 
test_aguix_pha2.csv
test_aguix_pha2.csv
 
 
test_aguix_pha3.csv
test_aguix_pha3.csv
 
 
test_dotarem_pha.csv
test_dotarem_pha.csv
 
 
test_dotarem_pha2.csv
test_dotarem_pha2.csv
 
 
test_dotarem_pha3.csv
test_dotarem_pha3.csv
 
 
timepoint_stats.csv
timepoint_stats.csv
 
 
timepoint_stats_HU.csv
timepoint_stats_HU.csv
 
 
tutorial1.py
tutorial1.py
 
 

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the pyKOLOR package :

Processing Philips Spectral Photon Counting images quickly and interactively on python.

Soon!

Lung segmentation model, pulmonary artery segmentations and bronchial segmentations

Authors:

Christian Alejandro (depuis 14/02/2024) Richard Solomon (depuis 06/08/2024)

About

M2 thesis project

www.spectralphotoncountingct.com/en/

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