IRJET - Detection of Heamorrhage in Brain using Deep Learning
3 D Grid Modeling With Brain Lab
1. 3D Grid Modeling with BrainLAB Brian Owens, R. EP T.EEG/Image Guided Surgery Minnesota Epilepsy Group | www.mnepilepsy.org
2. Purpose 3D electrode grid modeling can be useful visualization electrode locale Can be combined with electrical stimulation data and/or MEG/fMRI data Can be helpful when used with stereotactic navigation
3. Method 3D grid creation is very easy using BrainLAB’siPlan application Before grid placement obtain a thin slice MR Post surgery obtain a thin slice volume CT scan Fuse CT to MR Electrodes are very high in contrast on CT compared to soft tissue Build grid from CT using ‘Object Creation’ and proper thresholding
15. Thresholding Adjust the thresholding of the object abusively so that only the electrodes are created separately from soft tissue Use the image to the left as a guide
16. ROI In ‘Auto Segmentation’ you can adjust your region of intrest to encompass the electrode array You can do this in all planes
17. 3D Grid 3D object creation of grid complete Yellow voxels represent seizure dipoles obtained from MEG Blue voxel represents somatosensory dipole obtained from MEG
18.
19.
20. This slideshow has no official affiliation with BrainLAB. All images used were obtained using real patient data with no patient identifying information. The iPlan 3.x application is a product of BrainLAB, INC. www.mnepilepsy.org www.brainlab.com