Generation of B0 fieldmap based on anatomical MRIs of 60 adult subjects. The fieldmaps are generated from the segmented tissues and assignment of susceptibility values.
Pipeline
3D Render of segmentations
Sagittal mosaic of simulated B0 maps
Link to OpenNeuro BIDS dataset to be provided soon.
In a new virtual environment (recommended), install this repository:
git clone https://github.com/shimming-toolbox/b0-fieldmap-realistic-simulation.git
cd b0-fieldmap-realistic-simulation
pip install -e requirements.txt
Install the susceptibility-to-fieldmap project,
git clone https://github.com/shimming-toolbox/susceptibility-to-fieldmap-fft
cd susceptibility-to-fieldmap-fft
git checkout d9f785b082fb145d547ff03ae53f23f1564ccc38
pip install -e .
Install via their website, https://www.slicer.org
Open the application, then navigate to the Python terminal (see Python "snake" logo in the top toolbar) and run:
import slicer
slicer.util.pip_install('click')
Note: for all *.sh script files, you'll need to provide execution permissions,
chmod +xxx $SCRIPT
where $SCRIPT is the *.sh filename for that script.
For convenience, we recommend you set the variable BIDS_DIR
in your shell to the datasets BIDS directory,
BIDS_DIR = /path/to/bids/dir
This way, you can copy-paste the commands below directly.
Step 1: Smooth & merge From within this directory, first generate the script for smoothing using 3D Slicer & merging of the labels:
./b0realsim/step_1_generate_smoothing.sh -b $BIDS_DIR
Output: run_1_smooth.sh
Step 2: Labels to chi Then, generate the script that will, for each subject, map the labels to their chi values.
./b0realsim/step_2_generate_chi.sh -b $BIDS_DIR
]
Output: run_2_compute_chimaps.sh
Step 3: Chi to B0 field map Lastly, generate the script that will, for each subject, simulate the B0 field map using the chi map generated in the previous step.
./b0realsim/step_3_generate_b0.sh -b $BIDS_DIR
Output: run_3_compute_b0maps.sh
Now, provide execute permission (chmod +xxx $SCRIPT
) each pipeline scripts you just generated and then run them in order
./run_1_smooth.sh
- runtime: ~2 hours
./run_2_compute_chimaps.sh
- runtime: ~1 minute
./run_3_compute_b0maps.sh
- runtime: ~30 minutes
Smoothed & merged labels $BIDS_DIR/derivatives/labels/$SUBJECT/anat/
Chi maps $BIDS_DIR/derivatives/$SUBJECT/anat/
B0 maps $BIDS_DIR/derivatives/$SUBJECT/fmap/
python b0realsim/visualization/plot_mosaic.py -b $BIDS_DIR
- runtime ~3 minutes
Output: subject-mosaic.png
To compute the age/weight/height statistics for the subjects,
python b0realsim/stats/subjects.py -b $BIDS_DIR