Titlebook: Bildverarbeitung für die Medizin 2016; Algorithmen - System Thomas Tolxdorff,Thomas M. Deserno (geb. Lehmann), Conference proceedings 2016

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Registration of Atrium Models to C-arm X-ray Images Based on Devices Inside the Coronary Sinus and overlaid on fluoroscopic images. This requires a registration between the 3D model coordinate system and the coordinate system of the C-arm X-ray device. We propose an indirect registration that makes use of surrounding anatomical structures that can be segmented both in the 3D volume obtained by C

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Reduction of Metal Artifacts Using a New Segmentation Approach,chniques are time-consuming. Most MAR methods contain a metal object segmentation step and the resulting image quality highly depends on the validity of the segmentation. However, segmenting the metal parts correctly still poses a non-trivial problem. We present a novel approach of an automatic, obj

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Basic Statistics of SIFT Features for Texture Analysis,asites versus leukocytes in thick blood smears. In the first approach, the texture is represented by basic statistics of SIFT features like the mean value and standard deviation. The second technique is a vector-quantization approach called bag of visual words, which uses k-means clustering for crea

Inelasticity

Biomarker

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Islamic Organizations in Europe and the USAlinken Herzventrikels auf 32 trans?sophagealen 3D-Ultraschalldaten durch. Ergebnisse werden quantitativ in 4-facher Kreuzvalidierung evaluiert und mit ver?ffentlichten Ergebnissen hochspezialisierter Methoden verglichen. Ohne zus?tzliche Parameteroptimierung, Bildvorverarbeitung und Modellinitialisi

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https://doi.org/10.1007/978-981-287-778-9oth regions. The resulting minimization problem is reformulated as a nonlinear least-square problem and solved numerically using Gauss-Newton. The evaluation is based on 150 image pairs captured from 32 patients. The correctness of the matching is confirmed by visual inspection of dental experts and

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Rumi on the Living Earth: A Sufi PerspectiveFor the evaluation, our new segmentation approach was combined with the frequency split MAR (FSMAR). The resulting CT images yielded higher image quality compared with the standard threshold-based FSMAR.

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Identifying Intracortical Partial Voluming Effects Using Cortical Surface Normals in Quantitative M intensities can be fully trusted. The results may prove to be useful for future PV correction methods in brain segmentation. Also, cortical area studies may benefit from better PV estimation in order to yield more precise and confiding results on microstructure and areal extent.

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Comparison of Post-Hoc Normalization Approaches for CT-based Lung Emphysema Index Quantification,rving frequency normalization show a similar agreement with the baseline ., however, emphysema regions detected after Laplacian frequency normalization show degraded volume overlaps likely caused by haloing artifacts in the normalized images. Overall, edge-preserving frequency decomposition shows th