Essays about: "CT image"

Showing result 11 - 15 of 195 essays containing the words CT image.

1. 11. 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

3. 12. Development of Advanced X-ray Micro-Tomography Helical Scan andTomographic Data Processing

   University essay from Högskolan i Gävle/Avdelningen för elektroteknik, matematik och naturvetenskap

   Author : Yoseph Abraham; [2023]
   Keywords : ;

   Abstract : Micro-computed tomography (Micro-CT) is an imaging technique that allows for high-resolution,three-dimensional (3D) internal visualization of small objects in a non-destructive manner. However,a significant limitation arises when attempting to image elongated samples at higher resolutions andmagnifications due to the inherently small field of view (FOV). READ MORE

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

   University essay from KTH/Skolan för teknikvetenskap (SCI)

   Author : Alex Back; Pontus Pandurevic; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE

5. 14. Self-supervised pre-training of an attention-based model for 3D medical image segmentation

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

   Author : Albert Sund Aillet; [2023]
   Keywords : Computer vision; Deep learning; 3D Medical image segmentation; Self-supervised learning; Datorseende; Djupinlärning; 3D Medicinsk bildsegmentering; Självövervakad träning;

   Abstract : Accurate segmentation of anatomical structures is crucial for radiation therapy in cancer treatment. Deep learning methods have been demonstrated effective for segmentation of 3D medical images, establishing the current standard. However, they require large amounts of labelled data and suffer from reduced performance on domain shift. READ MORE

6. 15. A comparison between tomographic and generated open cell metal foam structures

   University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

   Author : Jonathan Ebbesson; [2023]
   Keywords : Technology and Engineering;

   Abstract : This master thesis project presents steps on the image processing and reconstruction of an aluminium open-cell metal foam from $\mu$CT tomographic data. In addition, it also considers the generation of architecture foams using Voronoi Tessellation in combination with sphere packing algorithms. READ MORE