Essays about: "Segmentation of MR Images"

Showing result 1 - 5 of 40 essays containing the words Segmentation of MR Images.

  1. 1. Anatomical segmentation of the human brain: comparative assessment of two automatic methods

    University essay from

    Author : Carl von Dorrien; [2023-08-22]
    Keywords : Medical physics; MAPER; FreeSurfer; FastSurfer; Automatic brain segmentation; MRI; Deep Neural Network; Brain;

    Abstract : Magnetic Resonance Imaging (MRI) is a robust and versatile imaging modality and an integral component of a lot of studies, especially when performing quantitative analysis. MRI is the preferred method of imaging the brain because of its excellent soft tissue contrast. READ MORE

  3. 2. Brain morphometry in Parkinson’s disease

    University essay from

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

    Abstract : 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. READ MORE

  4. 3. Image-driven simulation of brain tumors using a reaction-diffusion mathematical model

    University essay from Linköpings universitet/Avdelningen för medicinsk teknik

    Author : Kristos Qiqi; [2023]
    Keywords : brain tumor; cancer; mathematical model; simulation; magnetic resonance images; hjärntumör; cancer; matematisk model; simulering; magnetresonanstomografi bilder;

    Abstract : 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. READ MORE

  5. 4. Deep learning-based segmentation of anatomical structures in MR images

    University essay from Linköpings universitet/Avdelningen för medicinsk teknik

    Author : Rasmus Ledberg; [2023]
    Keywords : MRI; deep learning; segmentation;

    Abstract : 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. READ MORE

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

    University essay from

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

    Abstract : 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. READ MORE