Image degradation due to motion is a known problem in Positron Emission Tomography (PET). To reduce motion artifacts in PET, gating based techniques were found applicable. In pure respiratory gated PET, each gate stil...
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Image degradation due to motion is a known problem in Positron Emission Tomography (PET). To reduce motion artifacts in PET, gating based techniques were found applicable. In pure respiratory gated PET, each gate still contains cardiac motion. Analogously, pure cardiac gated PET images still contain respiratory motion. Hence, we make use of dual (joint respiratory and cardiac) gating to further reduce the amount of motion contained in the images. The inclusion of non-rigid cardiac motion leads to intensity modulations caused by the Partial Volume Effect (PVE). To overcome the intensity modulations we identified and considered the mass-preserving property of PET images in the Variational Algorithm for Mass-Preserving Image REgistration (VAMPIRE). The aim of this paper is the elimination of both cardiac and respiratory motion in thoracic dual gated PET without a loss of statistic. The strategy of our proposed motion correction approach is: 1) Dual gating, 2) Mass-preserving motion estimation (VAMPIRE), and 3) Averaging of the aligned images. In a patient study we showed that the proposed mass-preserving motion correction strategy significantly removes motion artifacts in cardiac PET. VAMPIRE achieved accurate results that resemble cardiac and respiratory motion across all patients.
Hardware and software co-design is becoming increasingly important due to complexities in supercomputing architectures. Simulating applications before there is access to the real hardware can assist machine architects...
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Hardware and software co-design is becoming increasingly important due to complexities in supercomputing architectures. Simulating applications before there is access to the real hardware can assist machine architects in making better design decisions that can optimize application performance. At the same time, the application and runtime can be optimized and tuned beforehand. BigSim is a simulation-based performance prediction framework designed for these purposes. It can be used to perform packet-level network simulations of parallel applications using existing parallel machines. In this paper, we demonstrate the utility of BigSim in analyzing and optimizing parallel application performance for future systems based on the PERCS network. We present simulation studies using benchmarks and real applications expected to run on future supercomputers. Future petascale systems will have more than 100,000 cores, and we present simulations at that scale.
In this paper we present work-in-progress - a technology platform for Social Collaboration in the context of Personalized Information Extraction. In particular, we consider elements of user-centered software engineeri...
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In this paper we present work-in-progress - a technology platform for Social Collaboration in the context of Personalized Information Extraction. In particular, we consider elements of user-centered software engineering as it converges on the development of folksonomies. Results from our work-in-progress demonstrate to what extent non-IT users can apply natural language when managing their IT-based processes addressing information integration. We concentrate on the language model that supports the development of process-related folksonomies in the context of retrieving and merging textual information from different sources concerning legal documents. Findings in our work-in-progress underpin the conjecture that the computational nature of natural language overcomes the inherent problem of ambiguity when applied in a collaboration context that the users are aware of.
In Positron Emission Tomography (PET), motion due to the cardiac and respiratory cycle causes blurred images. Different approaches for motion correction in PET vary in the general concept (optical flow or image regist...
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In Positron Emission Tomography (PET), motion due to the cardiac and respiratory cycle causes blurred images. Different approaches for motion correction in PET vary in the general concept (optical flow or image registration) or, e.g., in the discretization of motion. Given our mass-preserving transformation model, we evaluate different motion models in this work: dense displacement field (compute for each voxel an individual displacement) vs. spline transformation (i.e. free-form deformation). Thereby a focus is put on the parametrization of the spline transformations where we optimize the number of spline coefficients and the regularization parameter. We make a quantitative comparison of the motion estimates of the different motion models based on data of the established XCAT software phantom. For both motion models (Displacement Field (DF) and Spline Transformation (ST)) the registration results are evaluated by 1) the total processing time and 2) the Euclidean distance to the ground-truth vectors provided by the XCAT phantom. We found that the spline transformation model is superior to the displacement field strategy in terms of processing time and accuracy.
The idea of a Kripke semantics endowed with possibility/plausibility information is not new; in fact there are different approaches for that; see: [6], [13], [16], [19]. This paper follows the approach found in [6], b...
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The idea of a Kripke semantics endowed with possibility/plausibility information is not new; in fact there are different approaches for that; see: [6], [13], [16], [19]. This paper follows the approach found in [6], but whereas [6] provides a fixed interpretation for connectives into [0,1] here we provide a characterization of a fuzzy semantics for connectives in such a way that the resulting fuzzy frames: K, T and D, are described precisely by the set of statements which also describes, respectively, the usual modal systems K, T and D.
The utilization of multimedia devices is growing rapidly in surveillance and monitoring applications. These multimedia surveillance systems need to process large amounts of multimodal sensor data in order to detect ev...
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Process management systems play an important role for today's information systems. They coordinate the work items among employees and ensure the correct execution of processes. In this paper we focus on the organi...
More and more network applications have appeared in recent years. Government, university, industry and individual Internet users and network services need more bandwidth and various network applications. Many new netw...
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We devise a protocol in which general nonclassical multipartite correlations produce a physically relevant effect, leading to the creation of bipartite entanglement. In particular, we show that the relative entropy of...
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We devise a protocol in which general nonclassical multipartite correlations produce a physically relevant effect, leading to the creation of bipartite entanglement. In particular, we show that the relative entropy of quantumness, which measures all nonclassical correlations among subsystems of a quantum system, is equivalent to and can be operationally interpreted as the minimum distillable entanglement generated between the system and local ancillae in our protocol. We emphasize the key role of state mixedness in maximizing nonclassicality: Mixed entangled states can be arbitrarily more nonclassical than separable and pure entangled states.
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