dicom-info 0.3.0

Prints information about DICOM files.

dicom-info

A command-line tool for displaying DICOM file information.

Description

dicom-info is a simple Python utility that reads and displays information from DICOM (Digital Imaging and Communications in Medicine) files. It provides a straightforward way to inspect DICOM file metadata from the command line, and can also display DICOM images interactively.

Requirements

• Python >= 3.13
• pydicom >= 3.0.1
• matplotlib >= 3.7.0 (for image display)
• numpy >= 1.24.0 (for image display)

Installation

With uv:

uvx dicom-info

or pip

pip install dicom-info

Usage

The basic syntax is:

dicom-info FILE [FILE ...]

Displaying Metadata

To display DICOM file metadata:

dicom-info path/to/file.dcm
dicom-info file1.dcm file2.dcm file3.dcm

The tool will display information for each DICOM file, including all available metadata and attributes.

Displaying Images

To display DICOM images interactively, use the --display or -d flag:

dicom-info --display path/to/file.dcm
dicom-info -d file1.dcm file2.dcm file3.dcm

Image display features:

• 2D images: Displayed as grayscale plots with a colorbar
• 3D images: Displayed with an interactive slider to navigate through slices
• Multiple files: Each image is shown in its own subplot with the filename as the title

Error Handling

The tool will exit with status code 1 if:

• Files are not found
• Files are not valid DICOM files
• When using --display, if no files contain pixel data

License

This project is licensed under the GNU GPL version 3 license which can be found here.

Development

Setup

This project uses uv for dependency management. To set up the development environment:

# Clone the repository
git clone https://github.com/sbu-physics-mri/dicom-info.git
cd dicom-info

# Install uv if you don't have it
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install the package with dev dependencies
make install

Running Tests and Checks

This project uses a Makefile as the single source of truth for development commands. All commands can be run locally and are also used in CI.

# Run all CI checks (format, lint, type, coverage)
make ci

# Individual commands:
make lint      # Run ruff linting
make format    # Check code formatting
make type      # Run mypy type checking
make test      # Run pytest
make coverage  # Run tests with coverage report (80% minimum)

# Apply fixes:
make fix       # Auto-fix linting issues and apply formatting

CI/CD

The project uses GitHub Actions for continuous integration. On every pull request and push to main, the following checks run in parallel:

• lint: Code quality checks with ruff
• format: Code formatting validation
• type: Type checking with mypy
• test: Test suite with coverage (minimum 80%)

All checks must pass before merging.

Contributing

Contributions welcome! Please open an issue or submit a pull request.