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Titlebook: Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis; ECCV 2004 Workshops Milan Sonka,Ioannis A. Kakadiaris,J

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https://doi.org/10.1007/978-1-4302-0176-2concentrated laterally by focusing the ultrasound beam. The radiation force is limited in depth by intersecting two beams at different frequencies so that there is interference between the beams at the difference frequency only at their intersection. This results in a radiation stress of limited spa
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Jim Paterson,Stefan Edlich,Reidar Hörningruction by moving frames, enables numerical implementation of exact cone-beam inversion using its intrinsic geometry. In particular, our algorithm allows a 3-D discrete approach to the differentiation-backprojection operator on the curved manifolds appearing in all analytical cone-beam inverse formu
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https://doi.org/10.1007/978-1-4302-0176-2 used to recover 3D shapes and information from images range and volume data. Complex practical applications, however, are rarely approachable with a single technique, and require detailed analysis on how they can be subdivided in subtasks that are computationally treatable and that, at the same tim
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Technical Considerations When Using db4oaphy) allows not only for . analysis of the stability of the reconstruction process but also for an exact definition of the resolution in the slices. Its natural regularization parameter, namely the cutoff frequency . of the filter underlying the definition of the FRECT solution, can be calibrated b
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The Definitive Guide to iReporteases can be distinguished from normals by looking at the local abnormality of cardiac motion. In this paper, we present a first result of a feature extraction experiment using the Independent Component Analysis (ICA), where abnormal patterns of myocardial contraction from patients are recognizable
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Datasources and Query Executers,le work has been done on producing statistics of diffusion tensors. A main difficulty is that the space of diffusion tensors, i.e., the space of symmetric, positive-definite matrices, does not form a vector space. Therefore, standard linear statistical techniques do not apply. We show that the space
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https://doi.org/10.1007/978-1-4302-0523-4s one to define curved distances which are often more appropriate for morphological comparisons of anatomy. However, the correspondence problem as well as the metric distances across the database depend upon the chosen reference anatomy, requiring average transformations to be estimated. The goal of
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https://doi.org/10.1007/978-1-4302-0523-4roposed scheme estimates edge gradient from an image that is smoothed or ”regularized” with a median filter. Its performance was demonstrated on synthetic images that were corrupted by Gaussian, salt&pepper and Weibull noises, and actual medical images. The visual and quantitative evaluation of the
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