Configurable fiducial-based device to image registration

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  Projects List

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  Image description

Key Investigators

• Junichi Tokuda, Brigham and Women's Hospital

Project Description

Objective

• Develop a method for fully-automated configurable fiducial detection and registration for calibration of interventional device (i.e. needle guidance robot, etc) to images.
• Implement the method as a CLI module for 3D Slicer.

Approach, Plan

• Background
  • Any devices for guiding needle insertion under image-guidance has to be registered to the image coordinate system. Fiducial markers are widely used to localize the mechanical structure of the device on the image, and find the spatial correlation between the physical space and the image space. However, detection of the fiducial markers often requires some user interaction, e.g. pointing a fiducial markers on the image, or use of active tracking method rather than a simple marker that create a bright spot on the image.
• Objectie
  • The objective of this project is to develop an image processing method for general-purpose fiducial detection. Specifically, the method can:
    • automatically detect the fiducial markers attached on the mechanical structure without user interaction
    • automatically find the correspondence of the points detected on the image, and the points in the physical space (defined as part of mechanical design)
    • compute the linear transformation that defines the location and orientation of the device in the image coordinate system
• Approach
  • We will use a tube-shape fiducial markers that can be automatically segmented by Hessian filter.
• Deliverable
  • CLI module.
  • The source code is available from: https://github.com/SNRLab/MarkerRegistration

Progress

• Progress here