Essays about: "Cardiac Magnetic Resonance Imaging"

Showing result 1 - 5 of 20 essays containing the words Cardiac Magnetic Resonance Imaging.

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. Traumatic brain injury and its impact on working memory : A systematic review

   University essay from Högskolan i Skövde/Institutionen för biovetenskap

   Author : Li Hallgren; Naema Adani Mohammed; [2023]
   Keywords : Traumatic brain injury; working memory; prefrontal cortex; functional magnetic resonance imaging; transcranial direct current stimulation;

   Abstract : 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. READ MORE

4. 3. 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

5. 4. Reconstruction of Accelerated Cardiovascular MRI data

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Hussnain Khalid; [2023]
   Keywords : medical imaging; deep learning; CNN; Magnetic resonance imaging; MRI; Cardiac MRI; Cardiac; Cardiovascular; reconstruction; 4D flow MRI; Parallel Imaging; Compressed Sensing; FlowVN; Flow Variational Network; K-space; Reference images; sensitivity maps; Respiratory motion; undersampled images;

   Abstract : Magnetic resonance imaging (MRI), is a noninvasive medical imaging testing techniquewhich is used to produce detailed images of internal structure of the human body, includingbones, muscles, organs, and blood vessels. MRI scanners use large magnets and radiowaves to create images of the body. READ MORE

6. 5. Deep learning for temporal super-resolution of 4D Flow MRI

   University essay from KTH/Matematik (Avd.)

   Author : Pia Callmer; [2023]
   Keywords : Temporal super-resolution; 4D Flow MRI; CNN; Artificial Intelligence; MRI; 4D flow; Temporal superupplösning; 4D flöde MRI; CNN; artificiell intelligens; MRI; 4D-flöde;

   Abstract : The accurate assessment of hemodynamics and its parameters play an important role when diagnosing cardiovascular diseases. In this context, 4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique that facilitates hemodynamic parameter assessment as well as quantitative and qualitative analysis of three-directional flow over time. READ MORE