Essays about: "Cardiac Magnetic Resonance Imaging CMR"

Found 3 essays containing the words Cardiac Magnetic Resonance Imaging CMR.

  1. 1. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Thomas Proudhon; [2023]
    Keywords : Cardiac Magnetic Resonance Imaging; Deep Learning; Domain Adaptation; Unsupervised Segmentation; Image-to-image Translation;

    Abstract : 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. READ MORE

  3. 2. Validation of Simultaneous T1 and T2 Mapping Using Cardiac Magnetic Resonance Fingerprinting in Self-Constructed Phantoms : An Analysis of the Reproducibility and Accuracy

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Sasithon Meesan; [2023]
    Keywords : Cardiac Magnetic Resonance Fingerprinting cMRF ; Cardiac Magnetic Resonance Imaging CMR ; Simultaneous T1 and T2 Mapping; Validation; Accuracy; Reproducibility; Cardiac Magnetic Resonance Fingerprinting cMRF ; Kardiovaskulär Magnetresonans CMR ; Simultant T1 och T2 Parametrisk-Karaktärisering; Validering; Noggrannhet; Reproducerbarhet;

    Abstract : Quantitative cardiac magnetic resonance imaging (CMR) has gained traction within both the clinical and research field due to high prevalence of cardiovascular diseases. Cardiac magnetic resonance fingerprinting (cMRF) is a novel approach introduced to address the limitation associated with evaluation of multiparametric quantitative CMR. READ MORE

  4. 3. Automatic Left Ventricle Segmentation of Long-Axis Cardiac MRI-Images

    University essay from Lunds universitet/Matematik LTH

    Author : Ruben Bergengrip; [2021]
    Keywords : MRI; Magnetic resonance imaging; Deep Learning; Machine learning; U-net; CNN; Semantic segmentation; Segmentation; Global longitudinal strain; GLS; strain; AV-plane displacement; AVPD; long-axis; left ventricle; LV; cardiac MRI; CMR; Image analysis; Technology and Engineering;

    Abstract : Over 30 % of all deaths worldwide are related to cardiovascular diseases and they are the leading cause of death. Therefore, research into treatment, diagnosis and prognostication of these diseases are of critical importance. One way to examine the cardiovascular system is through the use of Magnetic Resonance Imaging (MRI). READ MORE