Essays about: "2d signal"

Showing result 1 - 5 of 46 essays containing the words 2d signal.

  1. 1. 2D Reflection Seismic Imaging of Rødby Structures, Denmark: Geological Conditions for CO2 Sequestration

    University essay from Uppsala universitet/Geofysik

    Author : Mussie Habtemariam Zeru; [2024]
    Keywords : Reflection seismic; Geologic carbon storage; Sandstone; Structures; Rødby;

    Abstract : Amidst the global climate action movement, geologic carbon storage (GCS) has emerged as a pivotal strategy for mitigating atmospheric CO2 levels, offering environmental and economic opportunities. This thesis targets the Bunter Sandstone Formation within the Rødby structures in Denmark, focusing on seismic Profile 1. READ MORE

  2. 2. Estimating Diffusion Tensor Distributions With Neural Networks

    University essay from Linköpings universitet/Algebra, geometri och diskret matematik; Linköpings universitet/Tekniska fakulteten

    Author : Rimaz Nismi; [2024]
    Keywords : Diffusion; Magnetic Resonance Imaging; MRI; Neural Networks; Optimal transport; Earth mover s distance; Sinkhorn distance;

    Abstract : Magnetic Resonance Imaging (MRI) is an essential healthcare technology, with diffusion MRI being a specialized technique. Diffusion MRI exploits the inherent diffusion of water molecules within the human body to produce a high-resolution tissue image. An MRI image contains information about a 3D volume in space, composed of 3D units called voxels. READ MORE

  3. 3. Quality enhancement of time-resolved computed tomography scans with cycleGAN

    University essay from Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

    Author : Johannes Stubbe; [2023]
    Keywords : carbon fibers; carbon fibres; microfibers; tomography; deep learning; cycleGAN; time-resolved tomography; Physics and Astronomy;

    Abstract : Time-resolved x-ray tomography enables us to dynamically and non-destructively study the interior of a specimen. The obtainable temporal resolution is limited by the x-ray flux and the desired spatial resolution. READ MORE

  4. 4. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction

    University essay from KTH/Matematisk statistik

    Author : Sabina Syed; Josefin Stenberg; [2023]
    Keywords : Adversarial Convex Regularization; Computer Vision; Cone Beam Computed Tomography; Convolutional Neural Networks; Deep Learning; Image Reconstruction; Adversarial Convex Regularization; Bildrekonstruktion; Datorseende; Djupinlärning; Faltningsnätverk; Volymtomografi;

    Abstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE

  5. 5. Speckle suppression in ultrasound images of heterogeneous materials

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Simon Johnsson; [2023]
    Keywords : Ultrasound; non-destructive testing; wiener filter; signal processing;

    Abstract : Performing non-destructive testing (NDT) on materials is a helpful tool for maintenance and quality control because the materials are not destroyed or disturbed; ultrasound imaging is one type of NDT. Ultrasound imaging of heterogeneous materials contains many echoes from the material itself. READ MORE