Sökning: "Bayesian image reconstruction"
Visar resultat 1 - 5 av 7 avhandlingar innehållade orden Bayesian image reconstruction.
1. Unsupervised Segmentation of Head Tissues from Multi-Modal Magnetic Resonance Images: With Application to EEG Source Localization and Stroke Detection
Sammanfattning : The automated segmentation or labeling of individual tissues in magnetic resonance (MR) images of the human head is an essential first step in several biomedical applications. The resulting segmentation yields a patient-specific labeling of individual tissues that can be used to quantitatively characterize these tissues (e.g. LÄS MER
2. Time-domain Reconstruction Methods for Ultrasonic Array Imaging : A Statistical Approach
Sammanfattning : This thesis is concerned with reconstruction techniques for ultrasonic array imaging based on a statistical approach. The reconstruction problem is posed as the estimation of an image consisting of scattering strengths. LÄS MER
3. Advanced analysis of diffusion MRI data
Sammanfattning : Diffusion magnetic resonance imaging (diffusion MRI) is a non-invasive imaging modality which can measure diffusion of water molecules, by making the MRI acquisition sensitive to diffusion. Diffusion MRI provides unique possibilities to study structural connectivity of the human brain, e.g. LÄS MER
4. Palaeogenomic reconstruction of woolly mammoth evolutionary history and extinction dynamics
Sammanfattning : Biodiversity is declining globally. Yet, the biological and genetic processes associated with these declines on a longer timescale are still poorly understood. Ancient DNA is a powerful tool to study evolution in real-time. Despite advances in the field, there is further need for refinement of laboratory and computational techniques. LÄS MER
5. On Multidimensional Dynamic Fluorescence Imaging and Quantitative Image Analysis in Wide-Field Microscopy Applications to Studies of Astroglial Cells
Sammanfattning : Modern biological research has benefited from a renaissance in light microscopy, brought about by the convergence of developments in fields as diverse as electronics, optics, molecular biology, computer science, and reagent chemistry. Integration of these has transformed microscopy into a highly useful, dynamic research tool for biology and medicine. LÄS MER