Reconstructing Geometrically Consistent Tree Structures from Noisy Images

We present a novel approach to fully automated reconstruction of tree structures in noisy 2D images. Unlike in earlier approaches, we explicitly handle crossovers and bifurcation points, and impose geometric constraints while optimizing a global cost function. We use manually annotated retinal scans to evaluate our method and demonstrate that it brings about a very substantial improvement.


Publié dans:
Medical Image Computing And Computer-Assisted Intervention, 6361, 291-299
Présenté à:
Medical Image Computing and Computer-Assisted Intervention (MICCAI), Beijing, China, September 20-24, 2010
Année
2010
Laboratoires:




 Notice créée le 2010-06-21, modifiée le 2019-12-05

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