Reconstructing Geometrically Consistent Tree Structures from Noisy Images

Abstract. 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.

• Type: Journal
• Year: 2010
• Where: MICCAI
• Authors: Engin Türetken, Christian Blum, Germán González, Pascal Fua
• Keywords: Bifurcation Points, Global Cost Function, Medical Imaging, MICCAI 2010, Noisy 2D Images