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

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<!-- Objective bullet points -->
We already segmented multiple anatomical structures/landmarks in both MRI and Ultrasound (US) images,
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*Segmented multiple anatomical structures/landmarks in both MRI and Ultrasound (US) images, using machine learning algorithms (applicability of Deep Learning algorithms is currently
using machine learning algorithms (applicability of Deep Learning algorithms is currently
 
 
tested).
 
tested).
 
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*The next step would be to analyze the improvement of registration quality with different segmentations/generated landmarks in order to adapt the segmentation algorithms.
The next step would be to analyze the improvement of registration quality with different segmentations/generated landmarks in order to adapt the segmentation algorithms.
 
  
 
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<!-- Approach and Plan bullet points -->
 
<!-- Approach and Plan bullet points -->
Starting from multi-modal image segmentation in preopertive MRI and intraoperative Ultrasound images,
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*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.
 
it would be to discuss in which "form" one or multiple segmented structures should influence the registration result.
  
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<!-- Progress and Next steps (fill out at the end of project week), Please start each sentence in a new line. -->
 
<!-- Progress and Next steps (fill out at the end of project week), Please start each sentence in a new line. -->
 
 
 
 
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==Illustrations==
 
==Illustrations==
[[File:RegistrationInNeuroNavigationSystem.png|500px]]
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[[image:RegistrationInNeuroNavigationSystem.png|500px]]
  
 
Using segmented structures as guiding frame for multi-modal image registration:
 
Using segmented structures as guiding frame for multi-modal image registration:
  
[[File:MultimodalImageSegmentation3.png|500px]]
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[[image:MultimodalImageSegmentation3.png|500px]]
  
 
==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 -->

Revision as of 12:33, 20 June 2017

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

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Key Investigators

Project Description

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).

  • 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.


Illustrations

RegistrationInNeuroNavigationSystem.png

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

MultimodalImageSegmentation3.png

Background and References