View source for Algorithms:Core1Visit May24:DTI

Comments from Casey's Talk:

* One way to validate registration techniques is to assess how well primary eigenvectors align.
* Reluctant to optimize the registration on the features for which you desire to statistically analyze.

<br /> Comments from Tom's Talk:

* Presentation of an argument for higher angular diffusion imaging (via the analysis of aligned v.s. unaligned tensors).

<br /> Comments from Bruce's Talk:

* Comments on ex-vivo imagery
* How accessible is this nice data?
** It would be nice to use this high resolution data as a ground truth for diffusion studies.

<br /> Comments from Polina's Talk:

* Is there any guarantee that these clusters will be compact?
** There is some hope for this due to the distance measure that is used. It's not obvious.
* Is this sensitive to the choice of sigma?
** Look to Lauren's thesis which will be published next week. Every aspect was evaluated and shown to not be too sensitive and to be in a reasonable range.
* What if you limited the tracts are constrained to have a limited length?
** Then you might be able to get better results at fiber crossings.

<br /> Comments from Allen's Talk:

* The property of the Finsler metric ensures that the curve evolution does not prefer the tangent direction over the curve shortening.
* Discussion on the minimum of curves in the Finsler geometry.
* Use of particle systems in image segmentation - resolved the issue in the non-convex case.