Sökning: "magnetic resonance imaging"
Visar resultat 11 - 15 av 303 uppsatser innehållade orden magnetic resonance imaging.
11. Övrig personals förhållningssätt inom magnetresonanstomografisäkerhet : En enkätstudie om röntgensjuksköterskors upplevelser
Kandidat-uppsats, Jönköping University/HHJ, Avdelningen för naturvetenskap och biomedicinSammanfattning : Bakgrund: Antalet magnetresonanstomografi (MR)-undersökningar ökar kontinuerligt vilket resulterar i ökat antal fall där annan sjukvårdspersonal, som i denna studie kallad för övrig personal, följer med patienten in i MR-rummet. Eftersom arbetet i en MR-miljö innefattar väldigt starka magnetfält bör all personal som skall vistas i och omkring MR-rummet ha genomgått en MR-säkerhetsutbildning för att förebygga skadliga och potentiellt dödliga olyckor . LÄS MER
12. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. LÄS MER
13. Traumatic brain injury and its impact on working memory : A systematic review
Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : The purpose of this systematic review is to provide insight into the impact traumatic brain injury (TBI) has on the executive function known as the working memory. TBI is a damage to the brain that occurs when the brain is critically injured to the degree that it impacts several brain regions and functions such as the hippocampus, its surrounding areas, the prefrontal cortex, and the performance of the working memory ability. LÄS MER
14. Deep learning-based segmentation of anatomical structures in MR images
Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknikSammanfattning : Magnetic resonance imaging (MRI) is a powerful imaging tool for diagnostics, which AMRA uses to segment and quantify certain anatomical regions. This thesis investigate the possibilities of using deep learning for the particular task of AMRAs segmentation, both for ordinary regions (fat and muscle regions) and injured muscles. LÄS MER
15. 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