Sökning: "Evaluation of Image Reconstruction"

Visar resultat 1 - 5 av 28 uppsatser innehållade orden Evaluation of Image Reconstruction.

1. 1. 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

   Master-uppsats, KTH/Fysik

   Författare :Ida Hägnestrand; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

3. 2. Evaluation of Computer Tomography based Cancer Diagnostics with the help of 3D Printed Phantoms and Deep Learning

   Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

   Författare :Alex Back; Pontus Pandurevic; [2023]
   Nyckelord :Machine Learning; Deep Learning; Convolutional Neural Networks; Perception Loss; CNN; DL; ML; Computer Tomography; CT; Cancer Diagnostics; Evaluation of Image Reconstruction; Radiomics; Tumors; 3D Printed Phantoms; 3D Printing; PLA;

   Sammanfattning : Computed x-ray tomography is one of the most common medical imaging modalities andas such ways of improving the images are of high relevance. Applying deep learningmethods to denoise CT images has been of particular interest in recent years. LÄS MER

4. 3. Analyzing different approaches to Visual SLAM in dynamic environments : A comparative study with focus on strengths and weaknesses

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Kristín Sól Ólafsdóttir; [2023]
   Nyckelord :Visual SLAM; RGB-D Vision; Dynamic Objects; Object Detection; Multi-Object Tracking; Image Segmentation; Optical Flow; Visual SLAM; RGB-D Syn; Dynamiska objekt; Objektdetektering; Multi-Objekt Spårning; Bildsegmentation; Optiskt Flöde;

   Sammanfattning : Simultaneous Localization and Mapping (SLAM) is the crucial ability for many autonomous systems to operate in unknown environments. In recent years SLAM development has focused on achieving robustness regarding the challenges the field still faces e.g. dynamic environments. LÄS MER

5. 4. Evaluation of deep learning image reconstruction for brain- and abdominal CT - A visual grading characteristics study

   Master-uppsats,

   Författare :Tuva Skarp; [2022-05-04]
   Nyckelord :Medical physics; CT; Computed tomography; imaging; Deep learning image reconstruction;

   Sammanfattning : Computed tomography (CT) is a common medical imaging method today. There are different ways of reconstructing the images from a CT examination. The standard method is the filtered back projection (FBP). LÄS MER

7. 5. Evaluation of the iterative kilovoltage cone-beam computed tomography reconstruction method for the Varian TrueBeam system

   Master-uppsats,

   Författare :Tamana Haidari; [2022-03-18]
   Nyckelord :Medical physics; FDK algorithm; iterative algorithm; CBCT; image quality;

   Sammanfattning : Introduction: Radiotherapy is used to treat patients with various types of cancer, where linear accelerators produce the radiation beam used for the treatment. Before each treatment fraction, the patient needs to be correctly positioned according to the treatment plan. LÄS MER