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Related Experiment Video

Updated: Jun 24, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

An event-driven distributed processing architecture for image-guided cardiac ablation therapy.

M E Rettmann1, D R Holmes, B M Cameron

  • 1Biomedical Imaging Resource, Mayo Clinic College of Medicine, Rochester, MN, USA.

Computer Methods and Programs in Biomedicine
|March 17, 2009
PubMed
Summary
This summary is machine-generated.

A new FINDER architecture (Framework for Image-Guided Navigation using a Distributed Event-Driven Database in Real-Time) enhances medical imaging for real-time guidance. This flexible, distributed system improves interventional medicine procedures like cardiac ablation therapy.

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Published on: January 31, 2019

Area of Science:

  • Medical Imaging
  • Interventional Medicine
  • Surgical Navigation Systems

Background:

  • Medical imaging is crucial for preoperative planning and real-time guidance in interventional medicine.
  • Effective image-guided interventions require real-time instrument tracking, spatial alignment, and integrated data visualization.
  • Developing these systems involves challenges in communication, distributed processing, and adaptability to new technologies.

Purpose of the Study:

  • To design a novel communication architecture for image-guided catheter ablation therapy.
  • To create a flexible and distributed framework for real-time image-guided navigation.
  • To address challenges in communication schemes and CPU-intensive tasks in image-guided intervention systems.

Main Methods:

  • Developed the FINDER (Framework for Image-Guided Navigation using a Distributed Event-Driven Database in Real-Time) architecture.
  • Utilized a centralized database with an event queue for component communication.
  • Implemented a unique event-driven scheme where components query and respond to database events.
  • Designed the architecture for intrinsic distribution, allowing components on different systems and operating systems.

Main Results:

  • The FINDER architecture was implemented for image-guided cardiac ablation therapy.
  • A prototype image-guidance system demonstrated functionality through emulation of a cardiac ablation procedure.
  • The architecture proved modular, flexible, and intuitive, facilitating the addition of new components without code changes.

Conclusions:

  • The FINDER architecture provides a robust and adaptable solution for image-guided intervention.
  • This distributed, event-driven database approach is a significant step towards comprehensive visualization and targeting systems for cardiac ablation.
  • The system's flexibility and modularity support future advancements in image-guided medical procedures.