Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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N. Brieu, J. Serbanovic-Canic, A. Cvejic, D. Stemple, W. Ouwehand , N. Navab, M. Groher
A dynamic texture approach to semi-automatic thrombosis segmentation in in-vivo microscopic video-sequences
Workshop on Microscopic Image Analysis and Application in Biology, (MIAAB 2009), Bethesda, MD (US), 3-4 September 2009 (bib)

The larva of wild-type zebrafish is an excellent model to study clot formation, however, the analysis of respective microscopic image sequences mainly remains manual, thus tedious and error-prone. Despite the obvious benefit of automatic segmentation algorithms for biologists, no satisfactory solution exists yet, which is mainly due to inherent problems like high signal-to-noise ratio, low contrast, and motion perturbation. In this work we propose a semi-automatic segmentation algorithm, which combines a novel measure derived from dynamic textures, a temporal prior, and an edge-based refinement. With this mixture of time, texture, and gradients, we exploit the maximum range of temporal and spatial information and thus drive a contour-based segmentation to the accurate solution. Tests on a sequence of hand-labeled microscopic images demonstrate the merit of our approach.
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