2012 Summer Project Week:VertebraCTUSReg

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Key Investigators

  • University of British Columbia, Robotics & Control Laboratory
  • Queen's University

Objective

We are developing a new module as a puzzle block for a spine injection image-guided intervention.
The ultimate goal is to plan for injection based on prior CT-image and perform the treatment using ultrasound-based needle guidance. A volumetric representation of the patient's lumbar section is being reconstructed using tracked frames. This volume should go through a registration algorithm to rigidly align with the model generated from CT image.




Approach, Plan

A bone probability volume is generated from the original ultrasound volume. From the CT image, a subset of visible points is extracted. A guassian mixture model method is performed to solve for this surface to volume registration problem.

Progress

All implementations are based on a single vertebra registration for now. A loadable module is created which accepts a CT model (polydata) and an ultrasound volume (scalar) as inputs. All inputs need to be limited to region of interest (i.e. a single vertebra: L3). Core implementation of the algorithm is MATLAB-based, since the algorithm is quite fast and speed is not an issue. A gaussian mixture model is used to register surface to volume. output of the module is the rigid transformation matrix obtained in this way. A spine phantom data is used for validation. Patient recruitment is an ongoing task for this project.


Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)

  1. ITK Module
  2. Slicer Module
    1. Built-in
    2. Extension -- commandline
    3. Extension -- loadable
  3. Other (Please specify)

References