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Updated: Jul 2, 2025

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NeuroIGN: Explainable Multimodal Image-Guided System for Precise Brain Tumor Surgery.

Ramy A Zeineldin1,2,3, Mohamed E Karar4, Oliver Burgert5

  • 1Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University Erlangen-Nürnberg, 91052, Erlangen, Germany. ramy.zeineldin@fau.de.

Journal of Medical Systems
|February 23, 2024
PubMed
Summary
This summary is machine-generated.

A new multimodal image-guided neurosurgery (IGN) system, NeuroIGN, uses deep learning and explainable AI to improve brain tumor surgery. It offers high accuracy and real-time capabilities, enhancing surgeon trust and potentially improving patient outcomes.

Keywords:
Deep learningExplainabilityIGNMRINeuronavigationiUS

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Precise neurosurgical guidance is essential for successful brain surgeries.
  • Image-guided neurosurgery (IGN) systems provide real-time tracking of surgical tools relative to virtual patient models.

Purpose of the Study:

  • To develop a novel multimodal IGN system (NeuroIGN) using deep learning and explainable AI to enhance brain tumor surgery.
  • To establish clinical and technical requirements for brain tumor surgery IGN systems.

Main Methods:

  • NeuroIGN features a modular architecture: brain tumor segmentation, patient registration, and explainable output prediction.
  • The system integrates open-source packages into an interactive neuronavigational display.
  • Components were validated in laboratory and simulated operating room (OR) settings.

Main Results:

  • The system demonstrated accuracy in tumor segmentation and ExplainAI enhanced medical professionals' trust in deep learning.
  • NeuroIGN was assembled and set up in a pre-clinical OR within 11 minutes, achieving a tracking accuracy of 0.5 (±0.1) mm.
  • The system was evaluated as highly useful, offering a high frame rate (19 FPS) and real-time ultrasound imaging.

Conclusions:

  • This paper presents the development of an open-source multimodal IGN system.
  • The study highlights the application of deep learning and explainable AI in neuronavigation for brain tumor surgeries.
  • The NeuroIGN system shows potential for improving surgical treatment and long-term outcomes in brain tumor patients.