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5 produkter
5 produkter
1 577 kr
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Advances in Discrete Tomography and its Applications
1 624 kr
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Goals of the Book Overthelast thirty yearsthere has been arevolutionindiagnostic radiology as a result oftheemergenceofcomputerized tomography (CT), which is the process of obtaining the density distribution within the human body from multiple x-ray projections. Since an enormous variety of possible density values may occur in the body, a large number of projections are necessary to ensure the accurate reconstruction oftheir distribution. There are other situations in which we desire to reconstruct an object from its projections, but in which we know that the object to be recon structed has only a small number of possible values. For example, a large fraction of objects scanned in industrial CT (for the purpose of nonde structive testing or reverse engineering) are made of a single material and so the ideal reconstruction should contain only two values: zero for air and the value associated with the material composing the object. Similar as sumptions may even be made for some specific medical applications; for example, in angiography ofthe heart chambers the value is either zero (in dicating the absence of dye) or the value associated with the dye in the chamber. Another example arises in the electron microscopy of biological macromolecules, where we may assume that the object to be reconstructed is composed of ice, protein, and RNA. One can also apply electron mi croscopy to determine the presenceor absence ofatoms in crystallinestruc tures, which is again a two-valued situation.
1 732 kr
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Goals of the Book Overthelast thirty yearsthere has been arevolutionindiagnostic radiology as a result oftheemergenceofcomputerized tomography (CT), which is the process of obtaining the density distribution within the human body from multiple x-ray projections. Since an enormous variety of possible density values may occur in the body, a large number of projections are necessary to ensure the accurate reconstruction oftheir distribution. There are other situations in which we desire to reconstruct an object from its projections, but in which we know that the object to be recon structed has only a small number of possible values. For example, a large fraction of objects scanned in industrial CT (for the purpose of nonde structive testing or reverse engineering) are made of a single material and so the ideal reconstruction should contain only two values: zero for air and the value associated with the material composing the object. Similar as sumptions may even be made for some specific medical applications; for example, in angiography ofthe heart chambers the value is either zero (in dicating the absence of dye) or the value associated with the dye in the chamber. Another example arises in the electron microscopy of biological macromolecules, where we may assume that the object to be reconstructed is composed of ice, protein, and RNA. One can also apply electron mi croscopy to determine the presenceor absence ofatoms in crystallinestruc tures, which is again a two-valued situation.
Discrete Geometry for Computer Imagery
13th International Conference, DGCI 2006, Szeged, Hungary, October 25-27, 2006, Proceedings
Häftad, Engelska, 2006
1 095 kr
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This book constitutes the refereed proceedings of the 13th International Conference on Discrete Geometry for Computer Imagery, DGCI 2006, held in Szeged, Hungary in October 2006. The 28 revised full papers and 27 revised poster papers presented together with two invited papers were carefully reviewed and selected from 99 submissions.
Information Processing in Medical Imaging
16th International Conference, IPMI'99, Visegrad, Hungary, June 28 - July 2, 1999, Proceedings
Häftad, Engelska, 1999
551 kr
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This book constitutes the refereed proceedings of the 16th International Conference on Information Processing in Medical Imaging, IPMI'99, held in Visegrad, Hungary in June/July 1999.The 24 revised full papers and the 28 posters presented have been carefully reviewed and selected from a total of 82 submissions. The volume addresses the full range of current topics in the area in particular new imaging techniques, 3D ultrasound and PET, segmentation, image analysis of the brain cortex, registration, feature, detection and modelling, cardiovascular image analysis, shape modelling and analysis, segmentation and detection, measurement and quantitative analysis, and analysis of image sequences and functional imaging.