Sunday, January 16th, 2011, 9:57 pm
Rotation Tracking in Heart Images
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S a first validation step I am running these basic sanity checks which track anatomy where the correct correspondences are known. These animations show how a collection of points spread around the boundary of a circle (but not put precisely on the circle, on purpose) move along with the image merely by tracking the signal, without any knowledge of what other points are doing or what rigid/affine transformation the image itself is subjected to. Moreover, the interpolation process causes little issue at all and even though points can only move up/down/left/right (and diagonally), they do manage to move consistently.
With a new Gaussian kernel-based filter I’ve put in place fusion that makes use of image gradient (x+y derivatives) possible alongside with image signal. The binary images resulting from edge detection might be of some use, but scaling is tricky.
