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Background Steatosis is routinely assessed histologically in clinical practice and research. Automated image analysis can reduce the effort of quantifying steatosis. Since reproducibility is essential for practical use, we have evaluated different analysis methods in terms of their agreement with stereological point counting (SPC) performed by a hepatologist. Methods The evaluation was based on...
In this paper we present an automatic method for ultrasound-based early detection of pregnancy in pigs, which is a crucial information for commercial pig farming. We employ a strategy of region-based classification within multiple segmentation hierarchies which is able to efficiently find target structures in a large set of possible segmentations. Furthermore, we present a novel set of border features,...
We present an interactive segmentation method for 3D medical images that reconstructs the surface of an object using energy-minimizing, smooth, implicit functions. This reconstruction problem is called variational interpolation. For an intuitive segmentation of medical images, variational interpolation can be based on a set of user-drawn, planar contours that can be arbitrarily oriented in 3D space...
Purpose Diffusion tensor imaging (DTI) is a non-invasive imaging technique that allows estimating the location of white matter tracts based on the measurement of water diffusion properties. Using DTI data, the fiber bundle boundary can be determined to gain information about eloquent structures, which is of major interest for neurosurgical interventions. In this paper, a novel approach for boundary...
Computer-assistance has reached virtually every domain within the field of medical imaging. But, even after four decades of intensive medical image analysis research, most of the fully automated methods have not been adopted for clinical routine use. Dedicated computer aided-diagnosis tools with proven clinical impact exist for a narrow range of applications, including mammography and chest imaging,...
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