Transcript Updated Workflow Outline - University of British Columbia

Proposed Approach for
OPAL Workflow
Sept 2009
Workflow Overview
Modules
Register orthogonal datasets &
Apply transform
• Affine registration of sagittal and coronal data
to axial data using mutual information
(markers not currently used)
Resample datasets into new image
• Datasets “merged” by resampling
• Weighting of each dataset based on distance
of point to nearest slice
Atlas model creation through
expert segmentation
• Final model includes volumetric mesh and
connected points representing muscle fibers
Segmentation by coarse usercontrolled registration (initialization)
Segmentation by automated
image-based registration
Specifications
General
• Quantify results using
– Synthetic data: basic shapes, synthetic med data
– Human data: ideal control data, patient data
• Prototyped using Matlab unless specified
• Module input adaptable to allow for use of
Livewire
Assumption:
Atlas model has corresponding MRI
• Alternatives if atlas has no corresponding MRI
Future Work
1. Collaboration with Yohann and Marek
• Use of their workflow for Mesh-Match-andRepair for patient model segmentation
• Contributions to this work:
– The deformation of interior nodes, muscles and
landmarks (not just surface mesh)
– Reliability constraints on landmarks, curves and
surfaces
Future Work
2. Possible new tongue structure
• Surface mesh is arbitrary
• Tongue consists of muscle fibers and skin is for
visual and collision calculation purposes only,
appearing as a “skin” over muscles
• Registration deforms the muscle nodes only
and ignores visible tongue surface