Difference between revisions of "Project Week 25/Segmentation for improving image registration of preoperative MRI with intraoperative ultrasound images for neuro-navigation"

Revision as of 10:40, 23 June 2017

Home < Project Week 25 < Segmentation for improving image registration of preoperative MRI with intraoperative ultrasound images for neuro-navigation

Objective	Approach and Plan	Progress and Next Steps
Segmented multiple anatomical structures/landmarks in both MRI and Ultrasound (US) images, using machine learning algorithms (applicability of Deep Learning algorithms is currently tested, DL for US-images, data augmentation...). The next step would be to analyze the improvement of registration quality with different segmentations/generated landmarks in order to adapt the segmentation algorithms.	Starting from multi-modal image segmentation in preopertive MRI and intraoperative Ultrasound images, it would be to discuss in which "form" one or multiple segmented structures should influence the registration result.

Using segmented structures as guiding frame for multi-modal image registration:

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 <!-- Objective bullet points -->
-*Segmented multiple anatomical structures/landmarks in both MRI and Ultrasound (US) images, using machine learning algorithms (applicability of Deep Learning algorithms is currently tested).
+*Segmented multiple anatomical structures/landmarks in both MRI and Ultrasound (US) images, using machine learning algorithms (applicability of Deep Learning algorithms is currently tested, DL for US-images, data augmentation...).
 *The next step would be to analyze the improvement of registration quality with different segmentations/generated landmarks in order to adapt the segmentation algorithms.