2013 Summer Project Week: Is Neurosurgical Rigid Registration Really Rigid?
Key Investigators
- University of Western Australia: Athena Lyons, Karol Miller, Adam Wittek, Grand Joldes
Objective
Rigid registration is performed prior to the application of the ISML’s computational biomechanical models of the brain. For application of computational biomechanics it is required that the rigid components of the image (i.e. the skull) be rigidly aligned without scaling. This project investigates the suitability of Slicer's rigid registration method and if, or at what point, brain shift or tumour size effect registration to the extent that image pre-processing is required.
Approach, Plan
Our approach is to compare the effects of rigid registration on whole images to images where only rigid components are considered for both synthetic samples and hospital data. Analysis will be made using an in house developed Canny Edge detection algorithm. We intend to take advantage of available Slicer experts to better understand the capabilities and limitations of current rigid registration methods and how they may be applicable.
Progress
A sample surgical case that has a significantly sized tumour and large brain shift has been registered and initial data for whole image vs. solely rigid components has been obtained. This data is currently being compared using the Canny Edge detection algorithm. Synthetic samples are still being prepared for registration.
Delivery Mechanism
This work will be delivered to the NA-MIC Kit as a report that can be made available on the NA-MIC web page.
References
- Intelligent Systems for Medicine Laboratory (ISML) www.mech.uwa.edu.au/ISML
- Mostayed, A., Garlapati, R. R., Joldes, G. R., Wittek, A., Roy, A., Kikinis, R., Warfield, S. K. & Miller, K. [2013. Biomechanical model as a registration tool for image-guided neurosurgery: evaluation against BSpline registration. Annals of Biomedical Engineering, DOI: 10.1007/s10439-013-0838-y.
