Sökning: "Voxels"
Visar resultat 1 - 5 av 53 uppsatser innehållade ordet Voxels.
1. Estimating Diffusion Tensor Distributions With Neural Networks
Master-uppsats, Linköpings universitet/Algebra, geometri och diskret matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : 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. LÄS MER
2. Analysis of Mutable Game Environments Built on a Tetrahedral Mesh : Tetras, a Potential Alternative to Voxels
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Historically 3D game environments have almost always been immutable. Mutable environments are a technical challenge that will affect performance. For games of the future to continue approaching realism, mutable environments are an essential step. LÄS MER
3. Resting-state Functional Connectivity in Anhedonia: Exploring the Effects of Pramipexole
Master-uppsats, Lunds universitet/Institutionen för psykologiSammanfattning : Pramipexole is a medication that normalises dopamine signalling in the brain. Previous studies have suggested that pramipexole is an effective treatment option for depression and anhedonia because it targets the dopaminergic pathways within the brain’s reward network. LÄS MER
4. Optimization of b-value Acquisition and Parameter Estimation of Intravoxel Incoherent Motion Measurements
Master-uppsats, Lunds universitet/SjukhusfysikerutbildningenSammanfattning : Radiotherapy is commonly used for cancer treatment, given to approximately half of all cancer patients in Sweden. Despite its widespread usage, there is currently no non-invasive and reliable imaging method that can identify regions of radiation resistance. LÄS MER
5. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaperSammanfattning : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. LÄS MER