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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Fully-Automated Analysis of Muscle Fiber Images with Combined Region and Edge-Based Active Contours
verfasst von : Thomas Brox, Yoo-Jin Kim, Joachim Weickert, Wolfgang Feiden
Erschienen in: Bildverarbeitung für die Medizin 2006
Verlag: Springer Berlin Heidelberg
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This paper presents a new approach to automated muscle fiber analysis based on segmenting myofibers with combined region and edge-based active contours. It provides reliable and fully-automated processing, thus, enabling time-saving batch processing of the entire biopsy sample stemming from routinely HE-stained cryostat sections. The method combines color, texture, and edge cues in a level set based active contour model succeeded by a refinement with morphological filters. False-positive segmentations as compared to former methods are minimized. A quantitative comparison between manual and automated analysis of muscle fibers images did not reveal any significant differences.
We gratefully acknowledge partial funding by the DFG.