Welcome to the QMENTA SDK documentation!

Introduction

The QMENTA Platform provides a unified solution for data management, processing and visualisation. The analyses (medical imaging processing tools) are executed on the hybrid cloud infrastructure as Docker containers and treated as black boxes that communicate with the platform using our SDK.

A simple Python program connects the QMENTA Platform with any third-party program. This typically involves fetching the input data, starting the binaries or scripts and uploading the result files in a compartmentalized, traceable and secure computing environment.

Any data uploaded to the platform can be used for analysis with a simple step, and the resulting files can be managed and visualized within the same platform website.

In addition, tools can also be seamlessly customized to include external parameters using GUI elements that provide an easy way for users to choose between different options and tune the execution flow of the analyses.

Getting started

We invite you to get started with the QMENTA SDK by following this step-by-step introductory tutorial to integrate your first algorithm in the QMENTA platform.

• Getting started
  • Before you begin
  • Write the main Python program
  • Test the tool locally
  • Package your tool in a Docker image
  • Add the tool to the platform
  • Run your tool in the QMENTA platform

Guides

If you are looking for more in-depth information about specific stages in the tool development process with the QMENTA SDK, we recommend you to read the following documents.

• Fundamentals
  • Install the QMENTA SDK
  • Working with Docker images
  • Tool development with the SDK
  • Testing tools locally
  • Adding a tool to the platform
• Advanced topics
  • Parameters and Input Files
  • Extending the Entry Point

Examples

You can also find concrete examples of how the QMENTA SDK can be used in a variety of tool development scenarios.

• Examples
  • Simple mrinfo tool
  • MATLAB-based tool
  • IronTract Challenge dMRI tractography reconstruction w/ DIPY, by Gabriel Girard

API Reference

In the API reference you can find detailed documentation about the attributes and methods of the two main classes available in the SDK: qmenta.sdk.context.AnalysisContext and qmenta.sdk.context.File.

• API Reference
  • AnalysisContext
  • File

Community

Lastly, we invite you to join the conversation and get support from fellow developers and QMENTA representatives in the Brain Innovation Hub.

• Join the Community