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EuCanImage Image Preprocessing Toolkit

This repository contains the code for preprocessing images for the EuCanImage project.

Building

docker build -t eucanimage-image-preprocessing .

Running

docker run --rm -v D:\Data03\XNAT:/data -p 9000:9000 eucanimage-image-preprocessing -config_path /data/config/xnat_local.json
Parameter Description
--rm removes container when run is complete
-v D:\Data03\XNAT:/data create a temporary volume mount to make local folder accessible to docker
-p 9000:9000 map host port to container port
eucanimage-image-preprocessing the docker image to run
-config_path /data/config/xnat_local.json path to configuration (in relation to docker path)

Configuration

Running the code requires a configuration file. An example configuration file is provided in the /example folder.

The configuration file is a JSON file with the following structure:

{
    "xnat_server": "http://host.docker.internal/xnat",
    "xnat_user": "xnat_user",
    "xnat_password": "xnat_password",

    "xnat_projects": ["eucanimage_test"],
    "xnat_subjects": [ "subject_id" ],
    "xnat_experiments": [ "experiment_id" ],
    "xnat_scan": [ "scan_id" ],

    "preprocess_functions": ["quality_functions","normalization_functions"],

    "data_path": "/data",

    "log_level": "info",

    "index": true,
    "reset": true,

    "multi_proc": true,
    "multi_proc_cpu": 4,

    "multi_thread": true,
    "multi_thread_workers": 10
}
Parameter Description
xnat_server xnat host name
xnat_user xnat user
xnat_password xnat password
xnat_projects xnat projects to be processed (required)
xnat_subjects xnat subjects to be processed (optional)
xnat_experiments xnat experiments to be processed (optional)
xnat_scans xnat scans to be processed (optional)
preprocess_functions preprocessing functions to run - quality_functions
data_path path for output data
log_level level for logging
index enables comparing local database and xnat to add new scans
reset overwrites previously generated output
multi_proc enables multi-processing
multi_proc_cpu number of cpus to use in multi-processing
multi_thread enables multi-threading (within each process)
multi_thread_workers number of pool workers for multi-threading
data_path path to data store for db and logs (in relation to docker path)
log_level logging level: debug, info, warning, error, critical

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