Sökning: "MR image analysis"

Visar resultat 1 - 5 av 43 uppsatser innehållade orden MR image analysis.

  1. 1. Night Vision Goggle Simulation in a Mixed Reality Flight Simulator with Seamless Integrated Real World

    Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Sofia Sproge; [2024]
    Nyckelord :Night vision goggles; NVG; Mixed Reality; Flight simulator; Video see-through; VST; Color transfer algorithm; Seamless integration; Post processing;

    Sammanfattning : Night vision goggles (NVGs) are optical devices used to enhance human vision at low light conditions such as nighttime. The image seen through the goggles is brightened but with the consequence of introduced visual limitations and illusions. LÄS MER

  3. 2. Brain morphometry in Parkinson’s disease

    Master-uppsats,

    Författare :Lönkvist Olivia; [2023-03-02]
    Nyckelord :Medical physics; Parkinson’s disease; Computational anatomy; Quantitative image analysis;

    Sammanfattning : Abstract Purpose The purpose of this brain morphometry study was to examine the volumes of different regions of the brain by research participants with Parkinson’s disease. Method To carry out the study, MR (magnetic resonance) images from 956 research participants from the Parkinson’s Progression Markers Initiative (PPMI) were used. LÄS MER

  4. 3. Predictive MR Image Generation for Alzheimer’s Disease and Normal Aging Using Diffeomorphic Registration

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Yuqi Zheng; [2023]
    Nyckelord :Medical Image Generation; Brain Aging; Diffeomorphic Registration; AlzheimerŠs Disease; Medicinsk bildgenerering; Åldrande av hjärnan; DiffeomorĄsk registrering; Alzheimers sjukdom;

    Sammanfattning : Alzheimer´s Disease (AD) is the most prevalent cause of dementia, signifying a progressive and degenerative brain disorder that causes cognitive function deterioration including memory loss, communication difficulties, impaired judgment, and changes in behavior and personality. Compared to normal aging, AD introduces more profound cognitive impairments and brain morphology changes. LÄS MER

  5. 4. Region-based analysis of magnetic resonance brain images: integrating statistical analysis and visualization

    Master-uppsats,

    Författare :Yu-Ping Hsu; [2022-04-05]
    Nyckelord :Medical physics; Neuroimage; Brain segmentation; Statistical analysis; Visualization;

    Sammanfattning : Purpose: The purpose of the project was to develop a processing toolchain that takes MR brain images and their anatomical segmentations as input and produces image visualizations, data visualizations, and statistical analyses in a unified manner for the users who work with neuroimaging and quantitative brain anatomy, including pathological anatomy. A secondary aim was to package and release the software publicly as open source. LÄS MER

  7. 5. Pediatric Brain Tumor Type Classification in MR Images Using Deep Learning

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Tamara Bianchessi; [2022]
    Nyckelord :pediatric brain tumors; MR image analysis; deep learning; classification; model explainability;

    Sammanfattning : Brain tumors present the second highest cause of death among pediatric cancers. About 60% are located in the posterior fossa region of the brain; among the most frequent types the ones considered for this project were astrocytomas, medulloblastomas, and ependymomas. LÄS MER