2017 Winter Project Week/Multi-ModalitySegmentationOfUSandMRImagesForGliomaSurgery - Revision history

Jennifer Nitsch at 14:37, 16 January 2017

2017-01-16T14:37:53Z

2017-01-13T15:49:34Z

2017-01-13T15:26:46Z

2017-01-13T13:32:55Z

2017-01-09T18:12:51Z

2017-01-09T16:48:49Z

2017-01-09T16:42:09Z

← Older revision		Revision as of 14:37, 16 January 2017
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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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 File:USandMRIimagesMLSegmentation.png|Several structures of the brain segmented from US- and MR images.
 File:Dnn.png
 </gallery>

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 File:USandMRIimagesMLSegmentation.png|Several structures of the brain segmented from US- and MR images.
 </gallery>

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+*Trained a DNN for skull stripping on 18 data sets from a public database, also segmented in GM, WM, CSF
 |}
 ==Background and References==
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 <!-- 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.
 * Testing applicability of Deep Learing on current data

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 * Multi-Modual Image Segmentation of preoperative MR- and intraoperative Ultrasound(US)-images
 * Segmentation of the following anatomical structures: Falx cerebri, tentorium cerebelli, white matter, gray matter, CSF (ventricles), blood vessels.
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 <!-- Approach and Plan bullet points -->
 * 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.
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