Difference between revisions of "2016 Summer Project Week/Needle Segmentation from MRI"
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| + | 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 for the segmentation to start. We aim to detect the tip automatically to make the needle segmentation fully automatic | ||
<h3>Objective</h3> | <h3>Objective</h3> | ||
| − | * | + | * Tip detection |
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<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| − | * | + | * 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. | ||
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<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
Revision as of 08:58, 20 June 2016
Home < 2016 Summer Project Week < Needle Segmentation from MRI
Key Investigators
- Guillaume Pernelle, Imperial College
- Tina Kapur, BWH/HMS
- Andre Mastmeyer, Univeristy of Lubeck
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 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.
