This repo is a template made to help building OpenRecon apps.
The puropose is to build the i2i
demo provided by Siemens for the SDK on https://www.magnetom.net, using a single build script, without any modification.
For later developments, the first step of a new OpenRecon project it to create a new repo based on this openrecon-template
, then modify the app
dir (or any other dir), to finnaly call the building process
A Python environment manager is strongly recomanded.
- Python
python 3.10
minimum : 100% sure
ORpython 3.12
: don't know
- Additional (non-builtin) modules
jsonschema
: a simplepip install jsonschema
should work
Simply run the build.py
script :
python build.py
It will bild the demo-i2i
directory.
All output files will be in the build
directory
The script is quite verbose, helping troubleshooting at each step of the process in case of error.
To build a specific dir, such as the app
dir :
python build.py --dirname app
All output files will be placed in a build subdir. The finale file, ready for the upload on the magnet will be the .zip file.
Building the demo-i2i
dir (default option) you should have this :
$ ls -1 build
i2i_json_ui.json
i2i.py
OpenReconSchema_1.1.0.json
OpenRecon_SiemensHealthineersAG_PythonMRDi2i_V1.0.0.Dockerfile
OpenRecon_SiemensHealthineersAG_PythonMRDi2i_V1.0.0.pdf
OpenRecon_SiemensHealthineersAG_PythonMRDi2i_V1.0.0.tar
OpenRecon_SiemensHealthineersAG_PythonMRDi2i_V1.0.0.zip
Building the app
dir :
$ ls -1 build
i2i-save-original-images_json_ui.json
i2i-save-original-images.py
OpenRecon_openrecon-template_i2i-save-original-images_V1.0.0.Dockerfile
OpenRecon_openrecon-template_i2i-save-original-images_V1.0.0.pdf
OpenRecon_openrecon-template_i2i-save-original-images_V1.0.0.tar
OpenRecon_openrecon-template_i2i-save-original-images_V1.0.0.zip
OpenReconSchema_1.1.0.json
The app
dir will contained the versioned code.
The python-ismrmrd-server
dir is NOT versioned.
To add your app files files in the python-ismrmrd-server
, create symbolic links.
Open a Terminal in the repository directory, then :
# setup Conda environment
conda create --name openrecon-template
conda activate openrecon-template
conda install python=3.12
conda install ipython
pip install ismrmrd
pip install pydicom
pip install pynetdicom
# create .py file symbolic link in `python-ismrmrd-server`
# this is how the MRD client/server will behave : all files/modules in the same dir
cd python-ismrmrd-server
ln -s ../app/i2i-save-original-images.py .
Repeat the ln -s
for the files you need.
Put DICOMs in a dir then convert to MRD (.h5 file)
python python-ismrmrd-server/dicom2mrd.py -o <path_to_data>/in/test.h5 <path_to_data>/in/
In a terminal or an IDE like VSCode, start the main.py
. This will help a lot debugging.
Send data using client.py
python python-ismrmrd-server/client.py -o <path_to_data>/out/reco_test.h5 -c <myrecon> <path_to_data>/in/test.h5
python python-ismrmrd-server/mrd2dicom.py -o <path_to_data>/out/ <path_to_data>/out/reco_test.h5
Use any DICOM viewer to check visually.
Start the main.py
in VSCode.
It can be in Debug mode, with breakpoints.
Then :
#!/bin/bash
## path management
IN_DIR=data/in
OUT_DIR=data/out
DATASET_NAME=test
## clean out dir
rm $OUT_DIR/*dcm $OUT_DIR/*h5
## send h5 MRD dataset using th client -> the server will process them
TARGET_CONFIG=i2i-save-original-images
python python-ismrmrd-server/client.py -o $OUT_DIR/OR_$DATASET_NAME.h5 -c $TARGET_CONFIG $IN_DIR/$DATASET_NAME.h5
# convert fresh OR processed MRD dataset into DICOM for visu
python python-ismrmrd-server/mrd2dicom.py -o $OUT_DIR/ $OUT_DIR/OR_$DATASET_NAME.h5
# use your favorite DICOM viewer
mrview $OUT_DIR/ -mode 2
I found that, when you modify the <reco>.py
file when the main.py
is running, the code is not updated => you need to restart the server (started by the main.py) so the <reco>.py
is reloaded.