Difference between revisions of "Project Week 25/NeedleSegmentation"
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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. | 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. | 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 | + | 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 segmentations. |
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<!-- Objective bullet points --> | <!-- Objective bullet points --> | ||
| − | + | * Refine/clear the segmentations coming from the CNN algorithm | |
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<!-- Approach and Plan bullet points --> | <!-- Approach and Plan bullet points --> | ||
Revision as of 07:07, 22 June 2017
Home < 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 segmentations.
| Objective | Approach and Plan | Progress and Next Steps |
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TDB |
Illustrations
