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Point set registration

Key Investigators

Project Description

This project focuses on applying a point set registration in 2D multichannel images and integrating it in a new 3D Slicer module. In order to use this kind of registration, it is necesary to obtain spatial features from the image and represent them as a point cloud.

Objective

  1. Explore strategies to extract a set of features from a 2D multichannel image and convert it to point cloud
  2. Select a registration algorithm for two point clouds and validate it with test cases
  3. Adapt the whole flow (features extraction and point cloud registration) to the original image
  4. Design and implement the 3D Slicer user interface for the proposed registration module

Approach and Plan

  1. Extract features based on contour information
  2. Select, integrate and validate a point set registration algorithm
  3. Apply registration result in the whole data imag

Progress and Next Steps

Progress:

Next steps:

Illustrations

Point set registration example from a blue point set M to the red point set S: Point set registration example from a blue point set M to the red point set S

First example

Input images:

fixed moving

Simple example using CPD

Result:

result

Hand example

Input images:

fixed moving

Hand example

Result:

result

Background and References