Difference between revisions of "2017 Winter Project Week/LORDWI"

Revision as of 00:22, 9 January 2017

Objective	Approach and Plan	Progress and Next Steps
Objective: Evaluate/validate a density-based non-rigid registration framework for DWI (see the link below for a paper on similarity measure used). Short description: The model is based on Free-Form Deformation B-splines where the directions are updated using the normalized Jacobian. B-spline interpolation is used spatially, the Watson Distribution is used directionally. Histogram is built smoothed. Similarity is NMI and optimisation is L-BFGS.	Figure out what diffusion data is available (preferably data already evaluated by another registration model). Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects. Consider if Slicer can be used in tandem for evaluation. This method introduces Mutual Information to nonrigid registration of DWI. Discuss if other similarity measures (e.g. correlation measures) would be better suited for specific problems.

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-* Evaluate/validate the density-based registration framework for DWI developed at UCPH (this is a nonrigid model - see the link below for a paper on the global algorithm).
+* Objective: Evaluate/validate a density-based non-rigid registration framework for DWI (see the link below for a paper on similarity measure used).
+* Short description: The model is based on Free-Form Deformation B-splines where the directions are updated using the normalized Jacobian. B-spline interpolation is used spatially, the Watson Distribution is used directionally. Histogram is built smoothed. Similarity is NMI and optimisation is L-BFGS.
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 <!-- Approach and Plan bullet points -->