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.
Results
Showing 1 to 9 of 9 for “"CT Reconstruction"”.
-
Deep Learning Neural Network-based Sinogram Interpolation for Sparse-View CT Reconstruction
Computed Tomography (CT) finds applications across domains like medical diagnosis, security screening, and scientific research. In medical imaging, CT allows physicians to diagnose injuries and disease more quickly and accurately than other imaging techniques. However, CT is one of the most …
-
COMPRESSIVE SENSING BASED IMAGE RECONSTRUCTION FOR COMPUTED TOMOGRAPHY DOSE REDUCTION
… the major concerns in the computed tomography (CT) field. Few-view reconstruction using iterative algorithm is an important strategy to reduce the radiation dose. In the iterative CT reconstruction, the projection / backprojection model plays an important role in the overall computational cost, …
-
Algebraic Reconstruction Methods for Complex Geometry Components
Industrial CT has seen widespread adoption as an inspection technique due to its ability to resolve small defects and perform high-resolution measurements on complex structures in Non Destructive Testing (NDT). The majority of the commercial cabinet systems are capable of acquisition and …
-
Advanced Statistical Modeling for Model-Based Iterative Reconstruction for Single-Energy and Dual-Energy X-Ray CT
Model-based iterative reconstruction (MBIR) has been increasingly broadly applied as an improvement over traditional, analytical image reconstruction methods in X-ray CT, primarily due to its significant advantage in drastic dose reduction without diagnostic loss. Early success of the method in …
-
Development of Spect and Ct Tomographic Image Reconstruction
… the advancement of statistically-based iterative reconstruction algorithms and protocols for both SPECT and micro CT data. Major contributions of this work to SPECT reconstruction include formulation and implementation of fully three-dimensional voxel-based system matrix in parallel-beam, …
-
Integration of Nano CT and SEM in the Characterization of Marcellus Shale
… heterogeneity, producing and optimising production is often hindered by its challenging complexities. It is now imperative to critically understand the complexities surrounding the geology of Shale reservoirs and its characterization. The overall aim of this study is to understand and …
-
Transform learning based image and video processing
… modeling, especially using the synthesis dictionary model, has received much attention. Sparse coding in the synthesis model is, however, NP-hard. Various methods have been proposed to learn such synthesis dictionaries from data. Numerous applications such as image denoising, magnetic …
-
Adaptive nonlocal and structured sparse signal modeling and applications
… representation, especially using the synthesis dictionary model, have been heavily exploited in signal processing and computer vision. Many applications such as image and video denoising, inpainting, demosaicing, super-resolution, magnetic resonance imaging (MRI), and computed tomography (CT) …
-
Spatial Resolution Analysis of a Variable Resolution X-ray Cone-beam Computed Tomography System
<p>A new cone-beam computed tomography (CBCT) system is designed and implemented that can adaptively provide high resolution CT images for objects of different sizes. The new system, called Variable Resolution X-ray Cone-beam CT (VRX-CBCT) uses a CsI-based amorphous silicon flat panel detector …