This GUI-based application simplifies the conversion of DICOM files into compressed NIfTI formats, making it ideal for radiologists and medical staff. It supports .IMA
and .DCM
files, enabling quick output for neuroimaging and 3D medical imaging tools. Easy to use, no coding is required.
Convert DICOM Files to Compressed NIfTI with Ease
The radiology_app is a user-friendly application designed specifically for radiologists and medical staff, enabling seamless conversion of DICOM files, such as .IMA
format, into compressed NIfTI files with a .nii.gz
extension. This tool facilitates the usage of neuroimaging and 3D medical imaging tools, streamlining workflows in medical imaging environments.
Key Features
- Intuitive Graphical Interface: Designed for ease of use, no programming skills are required.
- File Support: Capable of handling both
.IMA
and.DCM
files from DICOM series. - Output Format: Generates compressed NIfTI files (
.nii.gz
) suitable for advanced imaging applications. - Healthcare Usability: Built with the specific needs of healthcare professionals in mind.
- Standalone Application: Can be converted into an independent
.exe
file, eliminating the need for Python installation.
Getting Started
Using the Application
- Start the application by running the following command in your terminal:
python dicom_to_nifti_gui.py
- Follow these steps within the GUI:
- Click "Browse" to select the folder with your DICOM series.
- Click "Choose" to designate where to save the
.nii.gz
output file. - Click "Convert" to initiate the conversion process, generating your NIfTI file.
Creating a Standalone .EXE File
To create a standalone executable file:
- Install PyInstaller by running:
pip install pyinstaller
- Convert the script to an executable with:
Replace
pyinstaller --onefile --windowed --icon=health_icon.ico dicom_to_nifti_gui.py
--icon
with your organizational logo in .ico format to personalize your application.
Target Audience
This application is ideal for:
- Radiology departments
- Neuroimaging research teams
- Healthcare institutions seeking to enhance their medical imaging capabilities.
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