Sökning: "Diffusion Tensor Imaging"
Visar resultat 11 - 15 av 50 avhandlingar innehållade orden Diffusion Tensor Imaging.
11. Variational Tensor-Based Models for Image Diffusion in Non-Linear Domains
Sammanfattning : This dissertation addresses the problem of adaptive image filtering.Although the topic has a long history in the image processing community, researchers continuously present novel methods to obtain ever better image restoration results. LÄS MER
12. Optimisation in strategies in diffusion tensor MR imaging
Sammanfattning : With diffusion MR imaging, the Brownian motion (or self-diffusion) of water molecules is measured. In the corresponding ADC (Apparent Diffusion Coefficient) image, each image element (voxel) represents the average diffusion. In MRI, the diffusion is measured with diffusion gradients along certain directions in space. LÄS MER
13. Developing novel diffusion MRI methods for comprehensive analysis of restricted and anisotropic self-diffusion system
Sammanfattning : Diffusion MRI is a non-invasive imaging technique used to study the microstructural properties of biological tissues by observing the self-diffusion of water molecules. Traditional diffusion MRI methods, based on the pulsed gradient spin-echo sequence, employ magnetic field gradients to encode information about translational motion. LÄS MER
14. Brain Tumor Imaging and Treatment Effects. Imaging findings and cognitive function in glioblastoma patients
Sammanfattning : AbstractBackground: Glioblastoma is the most common malignant brain tumor. Operation with maximal resection, if feasible, otherwise biopsy followed by radiotherapy and chemotherapy with temozolomide is standard therapy. The prognosis remains poor, with median overall survival being 15 months despite therapy. LÄS MER
15. Probing brain microstructure with multidimensional diffusion MRI: Encoding, interpretation, and the role of exchange
Sammanfattning : Diffusion MRI (dMRI) is a non-invasive probe of human brain microstructure. It is a long-standing promise to use dMRI for ‘in vivo histology’ and estimate tissue quantities. However, this faces several challenges. First, the microstructure models used for dMRI data are based on assumptions that may cause erroneous interpretations. LÄS MER