vfa_t1_notebook.ipynb

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"# I- DESCRIPTION"
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"qMRinfo('vfa_t1'); % Describe the model"
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"# II- MODEL PARAMETERS\n",
"## a- Create object"
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"Model = vfa_t1;"
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"## Download sample data from OSF\n",
"> The current `Model` is an instance of `vfa_t1` class.\n",
" \n",
"You can manually download the sample data for `vfa_t1` [by clicking here](https:\/\/osf.io\/7wcvh\/download?version=3)."
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"dataDir = downloadData(Model,pwd);"
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"## b- Set protocol\n",
"> Protocol is set according to the example data\n",
" \n",
"%          |- vfa_t1 object needs 1 protocol field(s) to be assigned:\n",
"%          |-   VFAData"
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"FlipAngle = [3.0000; 20.0000];\n",
"% FlipAngle is a vector of [2X1]\n",
"TR = [0.0150; 0.0150];\n",
"% TR is a vector of [2X1]\n",
"Model.Prot.VFAData.Mat = [ FlipAngle TR];\n",
"%%   "
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"# III- FIT EXPERIMENTAL DATASET\n",
"## a- Load experimental data\n",
"%          |- vfa_t1 object needs 3 data input(s) to be assigned:\n",
"%          |-   VFAData\n",
"%          |-   B1map\n",
"%          |-   Mask"
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"% VFAData.nii.gz contains [128  128    1    2] data.\n",
"data.VFAData=double(load_nii_data('vfa_t1_data\/VFAData.nii.gz'));\n",
"% B1map.nii.gz contains [128  128] data.\n",
"data.B1map=double(load_nii_data('vfa_t1_data\/B1map.nii.gz'));\n",
"% Mask.nii.gz contains [128  128] data.\n",
"data.Mask=double(load_nii_data('vfa_t1_data\/Mask.nii.gz'));\n",
" "
]
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"source": [
"## b- Fit experimental data\n",
"> This section will fit data."
]
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"FitResults = FitData(data,Model,0);"
]
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"## c- Show fitting results\n",
"> * Output map will be displayed.\n",
" \n",
"> * If available, a graph will be displayed to show fitting in a voxel."
]
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"cell_type": "code",
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"source": [
"qMRshowOutput(FitResults,data,Model);"
]
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"cell_type": "markdown",
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"source": [
"## d- Save results\n",
"> * qMR maps are saved in NIFTI and in a structure `FitResults.mat` that can be loaded in qMRLab graphical user interface.\n",
"> * Model object stores all the options and protocol\n",
"> * These objects can be easily shared or be used for simulation."
]
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"cell_type": "code",
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"outputs": [],
"source": [
"FitResultsSave_nii(FitResults, 'vfa_t1_data\/VFAData.nii.gz');"
]
}
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