Sökning: "MR scan"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden MR scan.

  1. 1. 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

  3. 2. Optimization-Based Geometry Correction Of Blood Flow CFD Simulations Using 4D-Flow Data

    Master-uppsats, Lunds universitet/Institutionen för energivetenskaper

    Författare :Fritiof Hegardt; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : 4D-flow is a powerful tool capable of capturing 3-dimensional, time-resolved flow measurements of blood flow in the body. Their current use is limited by resolution and scan times. A proposed solution is to use Simulation Based Imaging (SBI). LÄS MER

  4. 3. 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

  5. 4. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Hanna Westermark; [2021]
    Nyckelord :Deep learning; importance sampling; segmentation; convolutional neural networks; MRI; brain tumour; Djupinlärning; importance sampling; segmentering; faltningsnätverk; MRI; hjärntumör;

    Sammanfattning : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. LÄS MER

  7. 5. Quantification of cerebral blood flow with 15O-water PET : A comparison study between PET/CT and PET/MR and two different blood sampling instruments

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik; Umeå universitet/Diagnostisk radiologi

    Författare :Amanda Eriksson; [2021]
    Nyckelord :Cerebral Blood Flow; CBF; oxygen-15-labelled water; PET CT; PET MR; Quantification of CBF; Image Derived Input Function; IDIF; Blood Sampled Input Function; BSIF; Arterial Input Function; AIF; Tracer Kinetic Modelling; Single Tissue Compartmental Model; 1TCM;

    Sammanfattning : Cerebral blood flow quantification is a vital diagnostic tool for disease monitoring and used for diagnosing a variation of pathological conditions. The human brain requires roughly about 20 % of the total cardiac output to sustain normal functioning, hence the perfusion of blood is an important factor to deliver oxygenated blood. LÄS MER