Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 116 for “"Reconstruction methods"”.
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Reconstruction methods for level-crossing sampling
… algorithm and the Iterative Amplitude Sampling Reconstruction (IASR) algorithm, that can reconstruct the original signal from these timing samples with improved accuracy over existing multi-level-crossing sampling approaches. By relating amplitude sampling with nonuniform time sampling, we …
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Reconstruction Methods for Optical Molecular Tomography
… and interaction with a micro-environment. The reconstruction of diffuse light sources is the central task of optical molecular tomography, and generally ill-posed and rather complex. The key element of optical molecular tomography includes the geometrical model, tissue properties, photon …
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Algebraic Reconstruction Methods for Complex Geometry Components
… cabinet systems are capable of acquisition and reconstruction of Cone Beam CT (CBCT) data utilising reconstruction algorithms such as the FDK, which are mathematically based on traditional FBP. While these algorithms are computationally efficient, limitations in the acquisition make inspection …
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Magnetic flux reconstruction methods for shaped tokamaks
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 1994.
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Acquisition and reconstruction methods for magnetic resonance imaging
… problem. This thesis proposes acquisition and reconstruction methods that increase the imaging efficiency of MRI and two of its emerging specialized applications, magnetic resonance spectroscopic imaging and quantitative susceptibility mapping. In particular, each of the proposed methods …
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Error Analysis, Improvement, and New Applications of Nodal Flux Reconstruction Methods
Finally, new applications of the reconstructed flux are investigated. One application of the methodology developed in this thesis is the creation of an analytical flux distribution from the region average data from a Monte Carlo code. The specific example of the one-dimensional axial flux in a …
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Benchmarking of neutrino energy reconstruction methods using electron-deuterium scattering data
… data with known beam energies to test energy reconstruction methods and interaction models. In particular, we analyze 5 GeV electron-deuteron scattering data measured using the large-acceptance CLAS detector at Jefferson Lab. Despite deuterium having a simple nucleus that is relatively …
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Injury Risk of Road Departure Crashes using Modeling and Reconstruction Methods
… been hampered by the difficulty in performing reconstructions. To address the need for accurate reconstructions in order to assess injury risk, a vehicle-specific stiffness database was added to the WinSmash reconstruction program. This single modification increased the average estimated …
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The Influence of Soil Reconstruction Methods on Mineral Sands Mine Soil Properties
… determine the effect of four different mine soil reconstruction methods on soil properties and associated rowcrop productivity. Treatments compared were 1) Biosolids-No Tillage, 2) Biosolids-Conventional Tillage, 3) Lime+NPK fertilized tailings (Control), and 4) 15-cm Topsoil over lime+P treated …
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Model-based metrics for assessing completeness and accuracy for 3D image-based reconstruction methods
… that this framework can assist users of SfM methods to automatically improve the completeness of the reconstructed 3D point butt models form the real world scenery. We validate our algorithm on both small and large dataset as well as indoor and outdoor scenes using daily photologs collected …
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Prior -Information -Driven Magnetic Resonance Imaging and Magnetic Resonance Spectroscopic Imaging
… the properties and vulnerabilities of existing methods, developing new methods to overcome existing limitations, and applying new methods to biomedically relevant applications. By studying the connection among existing methods, an integrative framework was developed that facilitated the design …
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Compressed Sensing based Micro-CT Methods and Applications
… interior problem. Recent advancement in image reconstruction, spurred by the advent of compressed sensing (CS) theory in 2006 and interior tomography theory since 2007, offers great reduction in the number of views and an increment in the volume of samples, while maintaining reconstruction …
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POCS Augmented CycleGAN for MR Image Reconstruction
Traditional Magnetic Resonance Imaging (MRI) reconstruction methods, which may be highly time-consuming and sensitive to noise, heavily depend on solving nonlinear optimization problems. By contrast, deep learning (DL)-based reconstruction methods do not need any explicit analytical data model and …
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A subspace approach to high-resolution magnetic resonance spectroscopic imaging
… of fast pulse sequences and advanced image reconstruction methods. However, the existing techniques have yet to offer the levels of improvement in imaging time, spatial resolution and SNR necessary to significantly impact in vivo applications of MRSI. This thesis work develops a new subspace …
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Probabilistic Methods for Monocular 3D Human Reconstruction
… ill-posed nature of the problem of monocular 3D reconstruction, where a single 2D input image gives rise to multiple reasonable 3D solutions. In recent years, great progress has been made towards computer vision algorithms that can imitate a human's ability to reconstruct in 3D from partial 2D …
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Estimation and calibration algorithms for distributed sampling systems
… skews that cause deviations from uniform timing. Methods for bandlimited input reconstruction from nonuniform recurrent samples are presented for both the small-mismatch and the low-SNR domains. Alternate iterative reconstruction methods are developed to give insight into the geometry of the …
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On the Foundations of Computation and Sampling for Reconstruction and Approximation
These days we use numerical methods in a large variety of applications. Many of them are security sensitive, like image reconstruction and classification in health care or scene detection for self-driving cars. In these cases, it is of utmost importance that we can guarantee that the algorithms …
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Advanced image processing methods for 3D high-throughput microscopy
… growth demands high-throughput image processing methods. This thesis addresses these challenges by developing efficient feature detection and 3D reconstruction methods, two key aspects in the image processing. For high-throughput feature detection, I developed a pipeline together with a new spot …
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Model-based reconstruction of magnetic resonance spectroscopic imaging
… that combine benefits from both model-based reconstruction methods and regularized reconstructions with prior knowledge are proposed and demonstrated for MRSI. These methods address constraints on acquisition time in MRSI by undersampling data during acquisition in combination with improved …
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