Difference between revisions of "2016 Summer Project Week/Needle Segmentation from MRI"
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Revision as of 09:12, 20 June 2016
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 mostly been 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
- Automatic detection of needle tips in MRI from GYN brachytherapy cases.
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.
