Sökning: "Diffusion Weighted Imaging"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden Diffusion Weighted Imaging.
1. Preprocessing for intravoxel incoherent motion analysis in the brain - Signal drift correction
Master-uppsats,Sammanfattning : Diffusion magnetic resonance imaging (dMRI) is a diagnostic imaging technique that is sensitized to the movement of water molecules in tissues. Intravoxel incoherent motion (IVIM) analysis can be used to estimate blood flow in capillaries from weakly diffusion-weighted data. LÄS MER
2. Image-driven simulation of brain tumors using a reaction-diffusion mathematical model
Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknikSammanfattning : Brain tumors pose a big challenge in the field of neuro-oncology. Gliomas are the largest subgroup. Magnetic resonance imaging is a non-invasive tool for detecting and characterizing these tumors. Mathematical models, such as the reaction-diffusion equation, can be used for understanding the intricate behavior of gliomas. LÄS MER
3. 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
4. Impact of the autoencoder-based FINTA tractogram filtering method on brain networks in subjects with Mild Cognitive Impairment
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Diffusion Magnetic Resonance Imaging (dMRI) is a method for measuring molecular diffusion in biological tissue microstructure. This information can be used to predict the location and orientation of white matter fibers in the brain, a process known as tractography. LÄS MER
5. Deep Neural Networks for Noise Reduction and Bias Removal in MR Diffusion Signal
Master-uppsats,Sammanfattning : The purpose of this study is to assess the potential of deep neural networks, trained by unsupervised learning, for diffusion weighted imaging (DWI) data modeling and denoising. DWI data were modeled by a biexponential model and Rician bias was corrected for. LÄS MER