2016 Summer Project Week/Needle Segmentation from MRI

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Home < 2016 Summer Project Week < Needle Segmentation from MRI

Key Investigators

  • Guillaume Pernelle, Imperial College
  • Tina Kapur, BWH/HMS
  • Paolo Zaffino, ImagEngLab
  • Salvatore Scaramuzzino, ImagEngLab
  • Maria Francesca Spadea, ImagEngLab

Project Description

NeedleFinder offers tools to segment needles from MRI/CT. It has been mostly tested on MRI from GYN brachytherapy cases. Currently the user must provide the needle tip for the segmentation to start. We aim to detect the tip automatically to make the needle segmentation fully automatic.

Objective

  • Tip detection

Approach, Plan

  • Develop a detection method based on Gaussian Mixture Models for different spaces: inputs: intensity, Frangi's filter, needle-tip cross-correlation, Hough transform
  • Integrate algorithm to Slicer.

Progress

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