Series
pyorthanc.Series
Bases: Resource
Represent a series that is in an Orthanc server
This object has many getters that allow the user to retrieve metadata or the entire DICOM file of the Series
Source code in pyorthanc/_resources/series.py
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acquisition_device_processing_description: str
property
body_part_examined: str
property
cardiac_number_of_images: int
property
contrast_bolus_agent: str
property
date: datetime
property
Get series datetime
The date have precision to the second (if available).
Returns:
Type | Description |
---|---|
datetime
|
Series date |
description: str
property
image_orientation_patient: List[float]
property
images_in_acquisition: int
property
instances: List[Instance]
property
Get series instance
is_stable: bool
property
labels: List[str]
property
last_update: datetime
property
manufacturer: str
property
Get the manufacturer
modality: str
property
Get series modality
number_of_slices: int
property
number_of_temporal_positions: int
property
number_of_time_slices: int
property
operators_name: str
property
parent_patient: Patient
property
parent_study: Study
property
performed_procedure_step_description: str
property
protocol_name: str
property
sequence_name: str
property
series_number: int
property
series_type: str
property
shared_tags: Dict
property
station_name: str
property
study_identifier: str
property
Get the parent study identifier
uid: str
property
Get SeriesInstanceUID
add_label(label)
Source code in pyorthanc/_resources/series.py
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anonymize(remove=None, replace=None, keep=None, force=False, keep_private_tags=False, keep_source=True, priority=0, permissive=False, private_creator=None, dicom_version=None)
Anonymize series
If no error has been raise, return an anonymous series. Documentation: https://book.orthanc-server.com/users/anonymization.html
Notes
This method might be long to run, especially on large series or when multiple
series are anonymized. In those cases, it is recommended to use the .anonymize_as_job()
Parameters:
Name | Type | Description | Default |
---|---|---|---|
remove |
List
|
List of tag to remove |
None
|
replace |
Dict
|
Dictionary of {tag: new_content} |
None
|
keep |
List
|
List of tag to keep unchanged |
None
|
force |
bool
|
Some tags can't be changed without forcing it (e.g. SeriesID) for security reason |
False
|
keep_private_tags |
bool
|
If True, keep the private tags from the DICOM instances. |
False
|
keep_source |
bool
|
If False, instructs Orthanc to the remove original resources. By default, the original resources are kept in Orthanc. |
True
|
priority |
int
|
Priority of the job. The lower the value, the higher the priority. |
0
|
permissive |
bool
|
If True, ignore errors during the individual steps of the job. |
False
|
private_creator |
str
|
The private creator to be used for private tags in replace. |
None
|
dicom_version |
str
|
Version of the DICOM standard to be used for anonymization. Check out configuration option DeidentifyLogsDicomVersion for possible values. |
None
|
Returns:
Type | Description |
---|---|
Series
|
A New anonymous series. |
Examples:
```python new_series = series.anonymize()
new_series_with_specific_series_id = series.anonymize( replace={'SeriesDescription': 'A description'} )
Source code in pyorthanc/_resources/series.py
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anonymize_as_job(remove=None, replace=None, keep=None, force=False, keep_private_tags=False, keep_source=True, priority=0, permissive=False, private_creator=None, dicom_version=None)
Anonymize series and return a job
Launch an anonymization job. Documentation: https://book.orthanc-server.com/users/anonymization.html
Notes
This method is useful when anonymizing large series or launching many anonymization jobs. The jobs are sent to Orthanc and processed according to the priority.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
remove |
List
|
List of tag to remove |
None
|
replace |
Dict
|
Dictionary of {tag: new_content} |
None
|
keep |
List
|
List of tag to keep unchanged |
None
|
force |
bool
|
Some tags can't be changed without forcing it (e.g. SeriesInstanceUID) for security reason |
False
|
keep_private_tags |
bool
|
If True, keep the private tags from the DICOM instances. |
False
|
keep_source |
bool
|
If False, instructs Orthanc to the remove original resources. By default, the original resources are kept in Orthanc. |
True
|
priority |
int
|
Priority of the job. The lower the value, the higher the priority. |
0
|
permissive |
bool
|
If True, ignore errors during the individual steps of the job. |
False
|
private_creator |
str
|
The private creator to be used for private tags in replace. |
None
|
dicom_version |
str
|
Version of the DICOM standard to be used for anonymization. Check out configuration option DeidentifyLogsDicomVersion for possible values. |
None
|
Returns:
Type | Description |
---|---|
Job
|
Return a Job object of the anonymization job. |
Examples:
For large series (recommended)
job = series.anonymize_as_job()
job.state # You can follow the job state
job.wait_until_completion() # Or just wait on its completion
new_series = Series(job.content['ID'], orthanc)
Source code in pyorthanc/_resources/series.py
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download(filepath, with_progres=False)
Download the zip file to a target path or buffer
This method is an alternative to the .get_zip()
method for large files.
The .get_zip()
method will pull all the data in a single GET call,
while .download()
stream the data to a file or a buffer.
Favor the .download()
method to avoid timeout and memory issues.
Examples:
from pyorthanc import Orthanc, Series
a_series = Series('SERIES_IDENTIFIER', Orthanc('http://localhost:8042'))
# Download a zip
a_series.download('series.zip')
# Download a zip and show progress
a_series.download('series.zip', with_progres=True)
# Or download in a buffer in memory
buffer = io.BytesIO()
a_series.download(buffer)
# Now do whatever you want to do
buffer.seek(0)
zip_bytes = buffer.read()
Source code in pyorthanc/_resources/series.py
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get_main_information()
Get series main information
Returns:
Type | Description |
---|---|
Dict
|
Dictionary of series information |
Source code in pyorthanc/_resources/series.py
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get_shared_tags(simplify=False, short=False)
Retrieve the shared tags of the series
Source code in pyorthanc/_resources/series.py
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get_zip()
Get the bytes of the zip file
Get the .zip file.
Returns:
Type | Description |
---|---|
bytes
|
Bytes of Zip file of the series. |
Examples:
from pyorthanc import Orthanc, Series
a_series = Series('SERIES_IDENTIFIER', Orthanc('http://localhost:8042'))
bytes_content = a_series.get_zip()
with open('series_zip_file_path.zip', 'wb') as file_handler:
file_handler.write(bytes_content)
Source code in pyorthanc/_resources/series.py
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modify(remove=None, replace=None, keep=None, force=False, remove_private_tags=False, keep_source=True, priority=0, permissive=False, private_creator=None)
Modify series
If no error has been raise, then create a modified version of the series. If keep=['SeriesInstanceUID'] and force=True are use, then the series itself is changed. Documentation: https://book.orthanc-server.com/users/anonymization.html
Notes
This method might be long to run, especially on large series or when multiple
series are modified. In those cases, it is recommended to use the .modify_as_job()
Parameters:
Name | Type | Description | Default |
---|---|---|---|
remove |
List
|
List of tag to remove |
None
|
replace |
Dict
|
Dictionary of {tag: new_content} |
None
|
keep |
List
|
Keep the original value of the specified tags, to be chosen among the SeriesInstanceUID, SeriesInstanceUID and SOPInstanceUID tags. Avoid this feature as much as possible, as this breaks the DICOM model of the real world. |
None
|
force |
bool
|
Some tags can't be changed without forcing it (e.g. SeriesInstanceUID) for security reason |
False
|
remove_private_tags |
bool
|
If True, remove the private tags from the DICOM instances. |
False
|
keep_source |
bool
|
If False, instructs Orthanc to the remove original resources. By default, the original resources are kept in Orthanc. |
True
|
priority |
int
|
Priority of the job. The lower the value, the higher the priority. |
0
|
permissive |
bool
|
If True, ignore errors during the individual steps of the job. |
False
|
private_creator |
str
|
The private creator to be used for private tags in Replace. |
None
|
Returns:
Type | Description |
---|---|
Series
|
Returns a new modified series or returns itself if keep=['SeriesInstanceUID'] (in this case, the series itself is modified). |
Examples:
# Create a modified series
modified_series = series.modify(replace={'SeriesInstanceUID': '1.2.840.113745.101000.1008000.38048.4626.5933732'}, force=True)
assert modified_series.uid == '1.2.840.113745.101000.1008000.38048.4626.5933732'
# Modify itself
series.modify(replace={'ReferringPhysicianName': 'last^first'}, keep=['SeriesInstanceUID'], force=True)
assert series.referring_physician_name == 'last^first'
Source code in pyorthanc/_resources/series.py
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modify_as_job(remove=None, replace=None, keep=None, force=False, remove_private_tags=False, keep_source=True, priority=0, permissive=False, private_creator=None)
Modify series and return a job
Launch a modification job. If keep=['SeriesInstanceUID'] (with force=True
),
then modified this series. If the SeriesInstanceUID is not keeped, this creates
a new modified series.
Documentation: https://book.orthanc-server.com/users/anonymization.html
Notes
This method is useful when modifying large series or launching many modification jobs. The jobs are sent to Orthanc and processed according to the priority.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
remove |
List
|
List of tag to remove |
None
|
replace |
Dict
|
Dictionary of {tag: new_content} |
None
|
keep |
List
|
Keep the original value of the specified tags, to be chosen among the SeriesInstanceUID, SeriesInstanceUID and SOPInstanceUID tags. Avoid this feature as much as possible, as this breaks the DICOM model of the real world. |
None
|
force |
bool
|
Allow the modification of tags related to DICOM identifiers, at the risk of breaking the DICOM model of the real world. |
False
|
remove_private_tags |
bool
|
If True, remove the private tags from the DICOM instances. |
False
|
keep_source |
bool
|
If False, instructs Orthanc to the remove original resources. By default, the original resources are kept in Orthanc. |
True
|
priority |
int
|
Priority of the job. The lower the value, the higher the priority. |
0
|
permissive |
bool
|
If True, ignore errors during the individual steps of the job. |
False
|
private_creator |
str
|
The private creator to be used for private tags in Replace. |
None
|
Returns:
Type | Description |
---|---|
Job
|
Return a Job object of the modification job. |
Examples:
For large series (recommended)
job = series.modify_as_job(replace={'SeriesDescription': 'a description'})
job.state # You can follow the job state
job.wait_until_completion() # Or just wait on its completion
modified_series = Series(job.content['ID'], client)
assert modified_series.description == 'a description'
Or modify the SeriesInstanceUID
job = series.modify_as_job(
replace={'SeriesInstanceUID': '1.2.840.113745.101000.1008000.38048.4626.5933732'},
force=True
)
job.wait_until_completion() # Or just wait on its completion
modified_series = Series(job.content['ID'], client)
modified_series.uid == '1.2.840.113745.101000.1008000.38048.4626.5933732'
Or keep the SeriesInstanceUID
job = series.modify_as_job(
replace={'SeriesDescription': 'a description'},
keep=['SeriesInstanceUID'],
force=True
)
job.wait_until_completion()
assert series.description == 'a description'
Source code in pyorthanc/_resources/series.py
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remove_empty_instances()
Source code in pyorthanc/_resources/series.py
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remove_label(label)
Source code in pyorthanc/_resources/series.py
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