Metadata-Version: 2.1
Name: nbiatoolkit
Version: 1.3.0
Summary: A python package to query the National Biomedical Imaging Archive (NBIA) database.
License: MIT
Author: Jermiah Joseph
Requires-Python: >=3.09
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: beautifulsoup4 (>=4.12.3,<5.0.0)
Requires-Dist: cryptography (>=42.0.2,<43.0.0)
Requires-Dist: pandas (>=2.2.0,<3.0.0)
Requires-Dist: pyarrow (>=15.0.0,<16.0.0)
Requires-Dist: pydicom (>=2.4.0,<3.0.0)
Requires-Dist: requests (==2.31.0)
Requires-Dist: tqdm (>=4.66.1,<5.0.0)
Description-Content-Type: text/markdown

# *NBIA Toolkit*

## A python package that provides programmatic access to query and download images from the National Biomedical Imaging Archive (**NBIA**) and The Cancer Imaging Archive (**TCIA**) databases.

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## Table of Contents

- [Features](#features)
- [Installation](#installation)
- [Python Usage](#python-usage)
- [CLI Usage](#cli-usage)
- [Contributing](#contributing)
- [License](#license)
- [User Agreements and Disclaimers](#user-agreements-and-disclaimers)

## Features

> [!TIP]
> For a thorough description of the package and its available features, please refer to the Documentation at [NBIA-Toolkit Read The Docs](https://nbia-toolkit.readthedocs.io/en/latest/)

- ***Programmatic access*** to the National Biomedical Imaging Archive (NBIA) and The Cancer Imaging Archive (TCIA) databases
  - Use NBIA Guest account to access public data OR authenticate using OAuth with user credentials for limited access data (requires approved data access).
  - Custom `OAuth2` class for **NBIA**, **TCIA**, including special handling for dedicated server for the **NLST** collection.

- ***Query NBIA database*** for metadata on ***collections***, ***patients***, ***studies***, ***series***, and ***images***
- Download images from NBIA
  - ***Validate doownloads with MD5 checksums*** for downloaded images
  - **Auto-sort** DICOM files using a user-defined pattern of DICOM tags with specialized ***DICOMSorter class***

See [Developer Notes](devnotes/README.md) for more details on the features and the development process.

## Installation

> [!WARNING]
> `nbiatoolkit` is currently under development and is not guaranteed to be stable.

It is made available via PyPI and can be installed using pip:

``` bash
pip install nbiatoolkit
```

## Python Usage

Using a context manager, you can easily access the NBIA database and query for metadata on collections, patients, studies, and series.

``` python
from nbiatoolkit import NBIAClient

with NBIAClient() as client:
    # Get a list of collections
    collections = client.getCollections()
    print(collections)

    # Get a list of patients in a collection
    patients = client.getPatients(Collection="TCGA-KIRC")
    print(patients)

    # Get a list of studies for a patient
    studies = client.getStudies(PatientID="TCGA-BP-4989")
    print(studies)

    # Get a list of series for a study
    series = client.getSeries(StudyInstanceUID=studies[0]["StudyInstanceUID"])
    print(series[0:5])
```

## CLI Usage

For quick access to the NBIA, the toolkit also provides a command line interface (CLI)

``` bash NBIAToolkit-Output
> NBIAToolkit --version

        _   ______  _______  ______            ____   _ __
       / | / / __ )/  _/   |/_  __/___  ____  / / /__(_) /_
      /  |/ / __  |/ // /| | / / / __ \/ __ \/ / //_/ / __/
     / /|  / /_/ // // ___ |/ / / /_/ / /_/ / / ,< / / /_
    /_/ |_/_____/___/_/  |_/_/  \____/\____/_/_/|_/_/\__/

Version: 1.0.1

Available CLI tools:

getCollections [-h] [-u USERNAME] [-pw PASSWORD] [-p PREFIX]
               [-o OUTPUTFILE] [--version]

getBodyPartCounts [-h] [-u USERNAME] [-pw PASSWORD] [-c COLLECTION]
                  [-o OUTPUTFILE] [--version]

getPatients [-h] [-u USERNAME] [-pw PASSWORD] -c COLLECTION
            [-o OUTPUTFILE] [--version]

getNewPatients [-h] [-u USERNAME] [-pw PASSWORD] -c COLLECTION -d DATE
               [-o OUTPUTFILE] [--version]

getStudies [-h] [-u USERNAME] [-pw PASSWORD] -c COLLECTION
           [-p PATIENTID] [-s STUDYINSTANCEUID] [-o OUTPUTFILE]
           [--version]

getSeries [-h] [-u USERNAME] [-pw PASSWORD] [-c COLLECTION]
          [-p PATIENTID] [-m MODALITY] [-study STUDYINSTANCEUID]
          [--seriesInstanceUID SERIESINSTANCEUID]
          [--bodyPartExamined BODYPARTEXAMINED]
          [--manufacturerModelName MANUFACTURERMODELNAME]
          [--manufacturer MANUFACTURER] [-o OUTPUTFILE] [--version]

getNewSeries [-h] [-u USERNAME] [-pw PASSWORD] -d DATE [-o OUTPUTFILE]
             [--version]

```


## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`nbiatoolkit` was created by Jermiah Joseph. It is licensed under the terms of the MIT license.

## User Agreements and Disclaimers

> [!IMPORTANT]
>The NBIA-toolkit is NOT a product of the National Cancer Institute (NCI) and is not endorsed by the NCI.
> Users of the NBIA-toolkit are required to abide by the NBIA REST API Terms of Service and the [NBIA Data Usage Policies and Restrictions](https://www.cancerimagingarchive.net/data-usage-policies-and-restrictions/)
> The NBIA-toolkit is provided as an open-source tool based on the [NBIA REST API](https://wiki.cancerimagingarchive.net/display/Public/NBIA+Advanced+REST+API+Guide) and is provided "AS IS" without warranty of any kind.
> In no event shall the authors or contributors be liable for any claim, damages or other liability, arising from, out of or in connection with the NBIA-toolkit or the use or other dealings in the NBIA-toolkit.

