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SlicerArduino: A Bridge between Medical Imaging Platform and Microcontroller.

Paolo Zaffino1, Alessio Merola1, Domenico Leuzzi1

  • 1Department of Clinical and Experimental Medicine, University "Magna Graecia" of Catanzaro, 88100 Catanzaro, Italy.

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Summary

This study introduces SlicerArduino, a Python extension enabling seamless interaction between 3D Slicer and Arduino boards. This integration facilitates basic input-output for research and education, enhancing medical imaging workflows.

Keywords:
3D SlicerArduinomedical imaging platformmicrocontroller

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging Software
  • Hardware-Software Integration

Background:

  • Medical imaging platforms often require interaction with external hardware for advanced applications.
  • Existing solutions for integrating software like 3D Slicer with hardware like Arduino are limited.
  • There is a need for accessible tools to bridge the gap between medical imaging software and physical computing platforms.

Purpose of the Study:

  • To develop and introduce an open-source Python extension for integrating 3D Slicer with Arduino boards.
  • To establish a communication layer for bidirectional data flow between 3D Slicer and external hardware.
  • To demonstrate the utility of this integration for research, education, and prototyping.

Main Methods:

  • Developed an open-source Python extension named SlicerArduino for 3D Slicer.
  • Implemented a communication layer accessible via a Graphical User Interface (GUI) within 3D Slicer.
  • Tested the extension with two use cases: sensor input to 3D Slicer and 3D Slicer output to control a servomotor.

Main Results:

  • Successfully established quasi-real-time communication between 3D Slicer and an Arduino board.
  • Demonstrated input functionality: navigating 3D Slicer based on distance sensor data.
  • Demonstrated output functionality: controlling a servomotor based on image processing results from 3D Slicer.
  • Achieved integration with minimal lag or freezing.

Conclusions:

  • SlicerArduino provides a simple, effective method for integrating 3D Slicer with Arduino.
  • The extension is suitable for rapid prototyping, basic input-output interactions, and educational purposes in medical imaging.
  • The developed tool enhances the capabilities of 3D Slicer for external hardware interaction, though not intended for clinical use.