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

From NAMIC Wiki
Revision as of 12:33, 20 June 2017 by Marianna (talk | contribs)
Jump to: navigation, search
Home < Project Week 25 < Segmentation for improving image registration of preoperative MRI with intraoperative ultrasound images for neuro-navigation

Back to Projects List

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

Retrieved from "https://www.na-mic.org/w/index.php?title=Project_Week_25/Segmentation_for_improving_image_registration_of_preoperative_MRI_with_intraoperative_ultrasound_images_for_neuro-navigation&oldid=96512"