Skip to main content

Dicom Metadata structures

Project description

DicomMeta

dicommeta is a Python library for efficiently storing large amounts of Dicom Metadata

Installation

Use the package manager pip to install dicommeta.

pip install dicommeta

Usage

from pprint import pprint

from dicommeta.Utils import Mode
from dicommeta.Struct import Study, Series, Instance

new_dicom_study = Study(
                        StudyInstanceUID='1.3.6.1.4.1.14519.5.2.1.4334.1501.757929841898426427124434115918',
                        SpecificCharacterSet='ISO_IR 100',
                        StudyDate="20190701",
                        StudyTime='023750',
                        AccessionNumber='sdfk324234',
                        ReferringPhysicianName='Dr Strange',
                        PatientName='John Doe',
                        PatientID='A123',
                        StudyUID='study001',
                        PatientBirthDate='20000101',
                        mode=Mode.CT)

new_series01 = Series(seriesUID='series001')
new_series01.add_instance(Instance(SOPinstanceUID='Instance001'))
new_series01.add_instance(Instance(SOPinstanceUID='Instance002'))
new_series01.add_instance(Instance(SOPinstanceUID='Instance002'))
new_dicom_study.add_series(new_series01)
new_series11 = Series(seriesUID='series001')
new_series11.add_instance(Instance(SOPinstanceUID='Instance002'))
new_dicom_study.add_series(new_series11)
new_series11.add_instance(Instance(SOPinstanceUID='Instance003'))
new_dicom_study.add_series(new_series11)

new_series02 = Series(seriesUID='series002')
new_series02.add_instance(Instance(SOPinstanceUID='Instance002'))
new_series02.add_instance(Instance(SOPinstanceUID='Instance003'))
new_dicom_study.add_series(new_series02)

pprint(new_dicom_study.get_dict())
pprint(new_dicom_study.get_series(seriesUID='series002'))

new_study01 = Study(StudyUID='study002', StudyDate=['20200101'])
new_series03 = Series(seriesUID='series003')
new_series03.add_instance(Instance(SOPinstanceUID='Instance01'))
new_study01.add_series(new_series03)

study_list = [new_dicom_study, new_study01]

for study in study_list:
    for instance in study.series_dict:
        pprint(study.get_series(instance))
        print("")

print(new_dicom_study.get_series_ids())

print(new_dicom_study.study_datetime)
print(new_dicom_study.patient_age)

print(new_study01.study_datetime)
print(new_study01.patient_age)

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dicommeta-0.6.7.tar.gz (7.6 kB view hashes)

Uploaded Source

Built Distribution

dicommeta-0.6.7-py3-none-any.whl (8.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page