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doc/code_contributions_record.csv

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@@ -77,12 +77,12 @@ DCE,T1,VFA,two flip angles (linear),OG_MO_AUMC_ICR_RMH,"Oliver Gurney-Champion,
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DCE,T1,VFA,nonlinear,OG_MO_AUMC_ICR_RMH,"Oliver Gurney-Champion, Matthew Orton","Amsterdam University Medical Center, the Netherlands, Institute of Cancer Research, UK",R1_VFA,,MJT,competed
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DCE,T1,VFA,linear,ST_SydneyAus_T1,Sirisha Tadimalla,"University of Sydney, Australia",VFAT1mapping,,MJT,completed
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DCE,T1,VFA,nonlinear,ST_SydneyAus_T1,Sirisha Tadimalla,"University of Sydney, Australia",VFAT1mapping,,MJT,completed
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DCE/DSC,AIF deconvolution,,,SR_TBG_BNI_USAPhoenixUSA,"Sudarshan Ragunathan, Laura Bell","Barrow Neurological Institute, USA",AIFdeconvolution,,JA,completed
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DCE/DSC,AIF deconvolution,,,SR_TBG_BNI_PhoenixUSA,"Sudarshan Ragunathan, Laura Bell","Barrow Neurological Institute, USA",AIFdeconvolution,,JA,completed
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DCE/DSC,Miscellaneous,calculate SNR,,DS_BW_VanderBiltUMC_USA,"David Smith, Brian Welch","VanderBilt University Medical Center, USA",signal_to_noise_ratio,,tbd,
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DCE/DSC,Miscellaneous,calculate enhancement ratio,,DS_BW_VanderBiltUMC_USA,"David Smith, Brian Welch","VanderBilt University Medical Center, USA",signal_enhancement_ratio,,tbd,
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DSC,Input Functions,automatic AIF selection,"fully automatic, semi-automatic",JBJA_GUSahlgrenskaSWE,"Jesper Browall, Jonathan Arvidsson","Sahlgrenska University Hospital and Gothenburg University, Gothenburg, Sweden",AIF_selection_automatic.py,DOI: 10.1002/mrm.20759,tbd,
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DSC,Leakage correction,BSW,,SR_TBG_BNI_USAPhoenixUSA,"Sudarshan Ragunathan, Laura Bell","Barrow Neurological Institute, USA",BSWleakagecorr,,SR,in-progress
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DSC,Parameter derivation,"CBV,CBF,MTT",,SR_TBG_BNI_USAPhoenixUSA,"Sudarshan Ragunathan, Laura Bell","Barrow Neurological Institute, USA",DSCparameters,,tbd,
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DSC,Leakage correction,BSW,,SR_TBG_BNI_PhoenixUSA,"Sudarshan Ragunathan, Laura Bell","Barrow Neurological Institute, USA",BSWleakagecorr,,SR,in-progress
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DSC,Parameter derivation,"CBV,CBF,MTT",,SR_TBG_BNI_PhoenixUSA,"Sudarshan Ragunathan, Laura Bell","Barrow Neurological Institute, USA",DSCparameters,,tbd,
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DSC,Signal to deltaR2*,single echo,,LCB_BNI_USA,Laura Bell,"Barrow Neurological Institute, USA",,estimate_delta_R2s,tbd,
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DSC,Signal to deltaR2*,dual echo,,LCB_BNI_USA,Laura Bell,"Barrow Neurological Institute, USA",,"estimate_delta_R2s, estimate_delta_R2s_dual_echo",tbd,
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DSC,Signal to R2*,dual echo,,LCB_BNI_USA,Laura Bell,"Barrow Neurological Institute, USA",,estimate_R2s,tbd,

notebooks/contributors.ipynb

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src/wrappers/tofts.py

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@@ -10,7 +10,7 @@
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import osipi_code_collection.original.MJT_UoEdinburghUK.aifs as edinburgh2_aifs
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import osipi_code_collection.original.MJT_UoEdinburghUK.pk_models as edinburgh2_models
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import osipi_code_collection.original.MJT_UoEdinburghUK.dce_fit as edinburgh2_fit
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import osipi_code_collection.original.OGJ_OsloU_Norway.MRImageAnalysis.DCE.Analyze as oslo
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import osipi_code_collection.original.OGJ_OsloU_NOR.MRImageAnalysis.DCE.Analyze as oslo
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import osipi_code_collection.original.ST_USydAUS.ModelDictionary as sydney
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from osipi_code_collection.original.MB_QBI_UoManchesterUK.QbiPy.dce_models import dce_aif as manchester_aif
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from osipi_code_collection.original.MB_QBI_UoManchesterUK.QbiPy.dce_models import tofts_model as manchester_tofts

src/wrappers/vfa.py

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import osipi_code_collection.original.MJT_UoEdinburghUK.t1_fit as edinburgh
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import osipi_code_collection.original.ST_USydAUS.VFAT1mapping as sydney
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import osipi_code_collection.original.McGill_Can.vfa as mcgill
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import osipi_code_collection.original.McGill_CAN.vfa as mcgill
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from osipi_code_collection.utils.nb import percenterror
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import matplotlib.pyplot as plt
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import numpy as np

test/DCEmodels/test_DCEmodels_tofts_OGJ_OsloU_NOR.py

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from time import perf_counter
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from ..helpers import osipi_parametrize, log_init, log_results
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from . import DCEmodels_data
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from osipi_code_collection.original.OGJ_OsloU_Norway.MRImageAnalysis.DCE.Analyze import fitToModel
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from osipi_code_collection.original.OGJ_OsloU_NOR.MRImageAnalysis.DCE.Analyze import fitToModel
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# All tests will use the same arguments and same data...
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arg_names = 'label, t_array, C_array, ca_array, ta_array, ve_ref, Ktrans_ref, arterial_delay_ref, a_tol_ve, ' \

test/DSCmodels/test_DSCmodels_LcurveReg_SR_TBG_BNIPhoenixUSA.py

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from time import perf_counter
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from ..helpers import osipi_parametrize, log_init, log_results
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from . import DSCmodels_data
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from src.original.SR_TBG_BNI_USAPhoenixUSA.AIFDeconvolution.AIF_deconvolution import AIFdeconvolution
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from src.original.SR_TBG_BNI_USAPhoenixUSA.DSCparameters.DSC_parameters import DSCparameters
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from src.original.SR_TBG_BNIPhoenixUSA.AIFDeconvolution.AIF_deconvolution import AIFdeconvolution
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from src.original.SR_TBG_BNIPhoenixUSA.DSCparameters.DSC_parameters import DSCparameters
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# All tests will use the same arguments and same data...
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arg_names = 'label, C_tis, C_aif, tr, cbv_ref, cbf_ref,' \
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# Use the test data to generate a parametrize decorator. This causes the following test to be run for every test case
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# listed in test_data...
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@osipi_parametrize(arg_names, test_data, xf_labels=[])
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def test_SR_TBG_BNI_USAPhoenixUSA_LcurveReg(label, C_tis, C_aif, tr, cbv_ref, cbf_ref,
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def test_SR_TBG_BNI_PhoenixUSA_LcurveReg(label, C_tis, C_aif, tr, cbv_ref, cbf_ref,
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r_tol_cbv, r_tol_cbf, a_tol_cbv, a_tol_cbf):
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# run code

test/T1_mapping/test_t1_ZA_McGill_CAN.py

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from time import perf_counter
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from ..helpers import osipi_parametrize, log_init, log_results
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from . import t1_data
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from osipi_code_collection.original.McGill_Can.vfa import despot, novifast
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from osipi_code_collection.original.ZA_McGill_CAN.vfa import despot, novifast
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# All tests will use the same arguments and same data...

test/results-meta.json

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"filename": "TestResults_T1mapping_mcgill_t1_VFA_lin.csv",
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"category": "T1mapping",
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"method": "linear",
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"author": "ZA_McGill_Can"
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"author": "ZA_McGill_CAN"
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},
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{
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"path": "../test/results/T1_mapping",
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"filename": "TestResults_T1mapping_mcgill_t1_novifast.csv",
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"category": "T1mapping",
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"method": "nonlinear",
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"author": "ZA_McGill_Can"
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"author": "ZA_McGill_CAN"
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},
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{
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"path": "../test/results/T1_mapping",

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