Project Week 25/NeedleSegmentation

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Key Investigators

• Paolo Zaffino (Magna Graecia University, Italy)
• Salvatore Scaramuzzino (Magna Graecia University/ASL Vercelli, Italy)
• Maria Francesca Spadea (Magna Graecia University, Italy)
• Guillaume Pernelle (remote) (Imperial College, London, UK)
• Alireza Mehrtash (remote) (Brigham and Women's Hospital, Harvard Medical School, USA)
• Tina Kapur (Brigham and Women's Hospital, Harvard Medical School, USA)

Project Description

NeedleFinder offers tools to segment needles from MRI/CT. It has mostly been tested on MRI from GYN brachytherapy cases. Anyway, this tool requires manual interaction. Now we want to develop a completely automatic strategy to segment the needles. For this purpose, we tested a CNN approach that provides good results, even if a post processing step must be implemented in order to remove some noise and to refine the obtained segmentation.

Objective	Approach and Plan	Progress and Next Steps
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Illustrations

Background and References

1. NeedleFinder website
2. Model-based Catheter Segmentation in MRI-images