Essays about: "Bildrekonstruktion"

Showing result 1 - 5 of 11 essays containing the word Bildrekonstruktion.

  1. 1. 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

  3. 2. Evaluation of a Novel Reconstruction Framework for Gamma Knife Cone-Beam CT - The Impact of Scatter Correction and Noise Filtering on Image Quality and Co-registration Accuracy

    University essay from KTH/Fysik

    Author : Ida Hägnestrand; [2023]
    Keywords : Gamma Knife; Cone-beam computed tomography; Image quality; Image reconstruction; Co-registration; Contrast; Uniformity; Spatial resolution; Scatter correction; Wiener filter; Noise filter; Patient positioning; Stereotactic radiosurgery; Gammakniv; Strålkniv; Cone-Beam Computed Tomography; Bildkvalitet; Bildrekonstruktion; Co-registrering; Kontrast; Uniformitet; Spatial upplösning; Spridningskorrigering; Wienerfilter; Brusfilter; Stereotaktisk strålkirurgi;

    Abstract : The Gamma Knife is a non-invasive stereotactic radiosurgery system used for treatments of deep targets in the brain. Accurate patient positioning is needed for precise radiation delivery to the target. READ MORE

  4. 3. Respiratory Motion Correction in PET Imaging: Comparative Analysis of External Device and Data-driven Gating Approaches

    University essay from KTH/Fysik

    Author : Nina Lindström Söraas; [2023]
    Keywords : PET CT; Tomographic reconstruction; Respiratory gating techniques; Image registration; Motion correction; PET CT; Tomografisk rekonstruktion; Gating tekniker; Bildregistrering; Rörelsekorrigering;

    Abstract : Positron Emission Tomography (PET) is pivotal in medical imaging but is prone to artifactsfrom physiological movements, notably respiration. These motion artifacts both degradeimage quality and compromise precise attenuation correction. READ MORE

  5. 4. Real versus Simulated data for Image Reconstruction : A comparison between training with sparse simulated data and sparse real data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Aïssata Maiga; Johanna Löv; [2021]
    Keywords : Event based camera; image reconstruction; simulated data; real data; FireNet; E2VID; Event based camera; image reconstruction; simulated data; real data; FireNet; E2VID;

    Abstract : Our study investigates how training with sparse simulated data versus sparse real data affects image reconstruction. We compared on several criteria such as number of events, speed and high dynamic range, HDR. The results indicate that the difference between simulated data and real data is not large. READ MORE

  6. 5. Deep Learning for PET Imaging : From Denoising to Learned Primal-Dual Reconstruction

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Alessandro Guazzo; [2020]
    Keywords : PET Deep Learning Reconstruction Denoising;

    Abstract : PET imaging is a key tool in the fight against cancer. One of the main issues of PET imaging is the high level of noise that characterizes the reconstructed image, during this project we implemented several algorithms with the aim of improving the reconstruction of PET images exploiting the power of Neural Networks. READ MORE