2017 Winter Project Week/Needle Segmentation from MRI

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  Projects List

Key Investigators

• Ziyang Wang, BWH
• Alireza Mehrtash, BWH
• Alireza Ziaei Torbati, BWH
• Guillaume Pernelle, Imperial College London
• Tina Kapur, BWH/HMS

Project Description

This project is a continuation of the project started during the 2016 summer project week ( Needle Segmentation from MRI), 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

• We have manually segmented around 1k needles from GYN brachytherapy cases. We want to use this data in a supervised learning approach.
• We choose a common format (image spacing) in which we will format all of our data.

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Progress