Sökning: "3D image processing"
Visar resultat 16 - 20 av 109 uppsatser innehållade orden 3D image processing.
16. A comparison of 2D and 3D resistivity surveys for 3D inversion imaging
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : Following study focuses on electrical resistivity surveying and how it can be used as an exploration method to increase knowledge of subsurface structures. Future scenarios with increasing population and rapid urbani-zation, put high demands on reliable infrastructure; safe foundations, un-derground structures, environmental safety and access to resources. LÄS MER
17. Characterization of discrepancies between manual and automatic segmentation to improve anatomical brain atlases
Master-uppsats,Sammanfattning : Purpose: To characterize discrepancies between expert manually segmented brain images from Hammers Atlas Database and automatically generated segmentations of the same images; to decide whether they can be attributed to flaws in the automatic segmentation or in the manual segmentation; and to determine general rules that enable these decisions. Theory: Image segmentation plays an important role in clinical neuroscience and experimental medicine for extraction of information from medical images, and it is a fundamental image processing step in medical image analysis. LÄS MER
18. Image Processing in MRI Guided Real-TimeAdaptive Radiotheraphy - Upsampling and Segmentation of Target Volume and Organs at Risk
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Magnetic Resonance Imaging (MRI) is a useful medical imaging technique that is used for cancer treatment.The major drawback of this method is the relatively long scan time, limiting its use for real time tracking of a potentially moving target during the radiotherapy session. LÄS MER
19. Synchrotron X-ray Tomography Study of Bone-implant Integration
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Implant loosening is a recurring problem in the field of orthopedics, typically resulting in a physical and financial burden for the patient. Proper integration of orthopedic implants within host bones is a fundamental requirement for the successful function and limited risk of failure of implants which, in-vivo, must support various loading conditions. LÄS MER
20. Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Semantic segmentation of medical images is an important task with many applications. However, manually delineating 3D images is time-consuming and the demand for automation is high. For many image segmentation tasks, deep learning has provided state-of-the-art results. LÄS MER