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Related Experiment Video

Updated: Feb 15, 2026

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

Published on: October 8, 2011

Spatial Position Measurement System for Surgical Navigation Using 3-D Image Marker-Based Tracking Tools With Compact

Zhencheng Fan, Guowen Chen, Junchen Wang

IEEE Transactions on Bio-Medical Engineering

|January 19, 2018

Summary

This study introduces a 3-D image marker tracking system for minimally invasive surgery navigation. The system accurately measures spatial position, aiding surgeons in complex procedures within limited spaces.

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Published on: September 2, 2025

Area of Science:

Medical Imaging
Surgical Navigation
Robotics

Background:

Minimally invasive surgery (MIS) requires precise instrument tracking.
Existing navigation systems face challenges in confined surgical spaces.

Purpose of the Study:

To develop and evaluate a novel spatial position measurement system for MIS.
To enhance surgical navigation accuracy and efficiency using 3-D image marker-based tracking tools.

Main Methods:

Generation of 3-D image markers with encoded spatial information.
Design and analysis of tracking tools utilizing these 3-D markers.
Development of a pattern analysis-based positional measurement algorithm.
Implementation of patient-image registration and a navigation interface.

Main Results:

The system demonstrates accuracy and effectiveness in spatial position measurement.
Theoretical spatial errors are primarily influenced by the distribution of 3-D markers.
Surgical navigation feasibility studies confirmed the system's potential.

Conclusions:

The proposed compact tracking tools provide essential spatial positional information for MIS.
The system offers intuitive and accurate assistance to surgeons in limited surgical environments.