Difference between revisions of "2017 Winter Project Week/Multi-ModalitySegmentationOfUSandMRImagesForGliomaSurgery"
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<!-- Use the "Upload file" link on the left and then add a line to this list like "File:MyAlgorithmScreenshot.png" --> | <!-- Use the "Upload file" link on the left and then add a line to this list like "File:MyAlgorithmScreenshot.png" --> | ||
File:USandMRIimagesMLSegmentation.png|Several structures of the brain segmented from US- and MR images. | File:USandMRIimagesMLSegmentation.png|Several structures of the brain segmented from US- and MR images. | ||
+ | File:Dnn.png | ||
+ | File:SkullStrip.tcsproj.mp4 | ||
</gallery> | </gallery> | ||
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<!-- Add a bulleted list of investigators and their institutions here --> | <!-- Add a bulleted list of investigators and their institutions here --> | ||
* Jennifer Nitsch, University of Bremen (Germany) | * Jennifer Nitsch, University of Bremen (Germany) | ||
+ | * Hans Meine, University of Bremen (Germany) | ||
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<!-- Objective bullet points --> | <!-- Objective bullet points --> | ||
− | * Multi-Modual Image Segmentation of preoperative MR- and intraoperative Ultrasound(US)-images | + | * Multi-Modual Image Segmentation of preoperative MR- and intraoperative Ultrasound(US)-images for multi-modual image registration. |
* Segmentation of the following anatomical structures: Falx cerebri, tentorium cerebelli, white matter, gray matter, CSF (ventricles), blood vessels. | * Segmentation of the following anatomical structures: Falx cerebri, tentorium cerebelli, white matter, gray matter, CSF (ventricles), blood vessels. | ||
+ | * Testing applicability of Deep Learing on current data | ||
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<!-- Approach and Plan bullet points --> | <!-- Approach and Plan bullet points --> | ||
* Generation/ Refinement of ground truth data | * Generation/ Refinement of ground truth data | ||
* Generation/Creation/Refinement of characteristic (anatomical) landmarks (e.g. charactersitic representation of cerebellum, insula cortex (lateral sulcus), choroid plexus. | * Generation/Creation/Refinement of characteristic (anatomical) landmarks (e.g. charactersitic representation of cerebellum, insula cortex (lateral sulcus), choroid plexus. | ||
+ | * Prepare images for Deep Learning and seeting up Deep learning infrastructure. | ||
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<!-- Progress and Next steps bullet points (fill out at the end of project week) --> | <!-- Progress and Next steps bullet points (fill out at the end of project week) --> | ||
− | * | + | *Trained a DNN for skull stripping on 18 data sets from a public database, also segmented in GM, WM, CSF |
+ | *There a a lot of databases for T1-weighted brain images, but good reference data is rare... | ||
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==Background and References== | ==Background and References== | ||
<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> | <!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> |
Latest revision as of 14:37, 16 January 2017
Home < 2017 Winter Project Week < Multi-ModalitySegmentationOfUSandMRImagesForGliomaSurgeryKey Investigators
- Jennifer Nitsch, University of Bremen (Germany)
- Hans Meine, University of Bremen (Germany)
Project Description
Objective | Approach and Plan | Progress and Next Steps |
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