## DCM-Parser
A effecient tool for extract dicom meta data from files.
This tool offers:
- convert dicom to png (if pixel array is 2D) / mp4 (3D)
- extract all meta data (dicom header) to a single csv file
- examize corrupted files and files with missing values
- multi-thread speed up exact HUNDREDS files in seconds
## Installation
```bash
pip install -r requirements.txt
pip install dcm-parser
```
## Usage
**ONE line for everything!**
```python
from dcm_parser import batch_extraction
batch_extraction(source_dir=[YOUR_SOURCE_DIR], dest_dir=[YOUR_TARGET_DIR], save_img=True)
```
## How to cite this work
If you find this git repo useful, please consider citing it using the snippet below:
```bibtex
@misc{DCM-parser,
author={Le Peng},
title={DCM-parser: A Lightning DICOM Parser},
howpublished={\url{https://github.com/PL97/DICOM_Parser}},
year={2022}
}
Raw data
{
"_id": null,
"home_page": "https://github.com/PL97/DICOM_Parser",
"name": "dcm-parser",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "dcm,dicom,meta,dicom_header,png",
"author": "Le Peng",
"author_email": "peng0347@umn.edu",
"download_url": "https://files.pythonhosted.org/packages/80/a1/ec2b9683debe8451ce00dc89344ead6272837c23de51b1556f01c0d3fd30/dcm_parser-0.2.4.tar.gz",
"platform": null,
"description": "\n\n\n\n## DCM-Parser\nA effecient tool for extract dicom meta data from files.\n\nThis tool offers:\n- convert dicom to png (if pixel array is 2D) / mp4 (3D)\n- extract all meta data (dicom header) to a single csv file\n- examize corrupted files and files with missing values\n- multi-thread speed up exact HUNDREDS files in seconds\n\n## Installation\n```bash\npip install -r requirements.txt\npip install dcm-parser\n```\n\n\n## Usage\n\n**ONE line for everything!**\n\n```python\nfrom dcm_parser import batch_extraction\n\nbatch_extraction(source_dir=[YOUR_SOURCE_DIR], dest_dir=[YOUR_TARGET_DIR], save_img=True)\n\n```\n\n## How to cite this work\n\nIf you find this git repo useful, please consider citing it using the snippet below:\n```bibtex\n@misc{DCM-parser,\n author={Le Peng},\n title={DCM-parser: A Lightning DICOM Parser},\n howpublished={\\url{https://github.com/PL97/DICOM_Parser}},\n year={2022}\n}\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "A lightning DICOM Parser",
"version": "0.2.4",
"split_keywords": [
"dcm",
"dicom",
"meta",
"dicom_header",
"png"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "80a1ec2b9683debe8451ce00dc89344ead6272837c23de51b1556f01c0d3fd30",
"md5": "b2aee090e708d2825d3902760210be8c",
"sha256": "23bdf91e6cf4dc4fe954a78049a0733f96fbe32cea0df4fa087c64547ebc0e0e"
},
"downloads": -1,
"filename": "dcm_parser-0.2.4.tar.gz",
"has_sig": false,
"md5_digest": "b2aee090e708d2825d3902760210be8c",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 3912,
"upload_time": "2023-03-14T03:49:12",
"upload_time_iso_8601": "2023-03-14T03:49:12.250888Z",
"url": "https://files.pythonhosted.org/packages/80/a1/ec2b9683debe8451ce00dc89344ead6272837c23de51b1556f01c0d3fd30/dcm_parser-0.2.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-03-14 03:49:12",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "PL97",
"github_project": "DICOM_Parser",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [
{
"name": "pydicom",
"specs": [
[
"==",
"2.3.0"
]
]
},
{
"name": "scikit-video",
"specs": [
[
"==",
"1.1.11"
]
]
},
{
"name": "joblib",
"specs": [
[
"==",
"1.2.0"
]
]
}
],
"lcname": "dcm-parser"
}
JSON
