Package for extracting data from DICOM RDSR files
Project description
RDSR Navigator
A package for extracting data from DICOM RDSR files. The focus of this project is to extract data. It is not possible to modify files. The project is currently in early development and things might not work exactly how you expect. The public API is not yet stable, please keep this in mind.
The package is intended for RESEARCH USE ONLY, NOT FOR CLINICAL USE.
Getting started
These instructions will get you a copy of the project up and running on your local machine.
Prerequisites
RDSR Navigator is written in Python 3.6 and uses pydicom. Therefore make sure you are running Python 3.6 or later and make sure pydicom is installed. If pydicom is not installed, use the command below to install pydicom.
$ pip install pydicom
Installation
RDSR Navigator is available on pypi and can be installed using the following command.
$ pip install rdsr_navigator
Now, you are ready to start using RDSR navigator.
Usage
Read file
To open an RDSR file, type the following.
>>> import rdsr_navigator as nav
>>> rdsr_obj = nav.read_file(r'C:\rdsr_file.dcm')
The input argument to read_file
is a str
containing the path to an RDSR file. Other supported data types are pathlib
and pydicom
objects.
Extract data
Data is extracted by first navigating through the RDSR hierarchy using the concept names. All concept names are given in lower case, separated by underscores ("_"). In the example below we are extracting the value from "Procedure Reported".
>>> rdsr_obj['procedure_reported'].value
'Projection X-Ray'
Data can also be extracted by using the code value and coding scheme designator separated by a colon (":"). This is shown in the example below.
>>> rdsr_obj['121058:DCM'].value
'Projection X-Ray'
When the square brackets are used, the first matched concept name is returned. This is inappropriate if several entries with the same concept name exist on the same level.
NOTE: Since version 0.4.0, a warning will be shown if more than one match is found. To disable warnings for a single call, use
rdsr_obj.get('procedure_reported', warnings=False).value
.To disable all warnings, usenav.read_file(r'C:\rdsr_file.dcm', warnings=False)
when loading the file.
To iterate entries with the same concept name, use the get_all
method.
>>> for irr_event in sr_obj.get_all('irradiation_event_x-ray_data')):
print(irr_event['dose_area_product'].value)
(1.9632189e-7, 'Gy.m2')
(1.1173212e-5, 'Gy.m2')
(8.566802e-7, 'Gy.m2')
Drill deeper into the hierarchy by adding more concept names in the square brackets.
>>> rdsr_obj['procedure_reported', 'has_intent'].value
'Combined Diagnostic and Therapeutic Procedure'
Jupyter notebook integration
The RDSR navigator classes are integrated with jupyter notebooks.
- Data is nicely displayed in tabular form.
- Tab completion is available when accessing data using square brackets.
Supported value types
Currently, only a few value types are supported. The supported value types are listed below.
- Code Meaning
- Date Time
- Measured Values
- Text Value
- UID
License
This project is licensed under the MIT License - see the LICENSE file for details.
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