Essays about: "kardiovaskulär"
Showing result 1 - 5 of 18 essays containing the word kardiovaskulär.
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1. 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)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
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2. Explainable Machine Learning in Cardiovascular Diagnostics
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The major challenges in implementing machine learning models in medical applications stemfrom ethical and accountability concerns, which arise from the lack of insight and understandingof the models' inner workings and reasoning. This opaqueness has resulted in the emergenceof a new subfield of machine learning called Explainability, which aims to develop and deploymethods to gain insight into how input data is weighted and propagated through a machinelearning algorithm. READ MORE
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3. Error detection in blood work : Acomparison of self-supervised deep learning-based models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Errors in medical testing may cause serious problems that has the potential to severely hurt patients. There are many machine learning methods to discover such errors. However, due to the rarity of errors, it is difficult to collect enough examples to learn from them. It is therefore important to focus on methods that do not require human labeling. READ MORE
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4. Parameter estimation in a cardiovascular computational model using numerical optimization : Patient simulation, searching for a digital twin
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Developing models of the cardiovascular system that simulates the dynamic behavior of a virtual patient’s condition is fundamental in the medical domain for predictive outcome and hypothesis generation. These models are usually described through Ordinary Differential Equation (ODE). READ MORE
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5. Designing k-Space Filters to Improve Spatiotemporal Resolution with Sector-Wise Golden Angle (SWIG)
University essay from KTH/Medicinteknik och hälsosystemAbstract : The aim of this thesis is to design and evaluate k-space weighting filters for simultaneously improving the spatial and temporal resolution of cardiovascular MRI, with the ultimate goal of improving the accuracy of quantitative flow measurements, which are important for diagnosis and follow-up of heart dysfunction. Two different k-space filters were implemented and evaluated retrospectively to already acquired data. READ MORE
