Essays about: "radial sampling"
Showing result 1 - 5 of 16 essays containing the words radial sampling.
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1. Enabling Hybrid Real Time and Retrospectively Gated Imaging in a Numerical Phantom
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Sector-Wise Golden Angle (SWIG) is a novel approach that was developed to address the limitations associated with Golden Angle radial imaging, commonly used for high temporal resolution flow measurements. Golden angle radial imaging is a time-efficient method that effectively reduces motion sensitivity. READ MORE
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2. Cosmic Dust Detection by the Solar Orbiter Using Machine Learning
University essay from Uppsala universitet/Institutet för rymdfysik, UppsalaavdelningenAbstract : This project aims to investigate neural network systems as an effective tool for the in-space captured dust impact signal detection. Cosmic dust is the nanometre to micrometre fine-sized particles that exist in the interplanetary region. They originate from comets, asteroids, the planets and their moons and rings, or even the interstellar region. READ MORE
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3. Quantum mechanical modelling and electrochemical stability of sodium based glassy electrolyte for all-solid-state batteries
University essay from KTH/MaterialvetenskapAbstract : Increasing energy demand draws attention to new materials for improving current energy storage technologies. Particular interest is directed at solid state batteries and glass Na3ClO electrolyte is a promising candidate. READ MORE
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4. Quantification of cerebral blood flow with 15O-water PET : A comparison study between PET/CT and PET/MR and two different blood sampling instruments
University essay from Umeå universitet/Institutionen för fysik; Umeå universitet/Diagnostisk radiologiAbstract : 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. READ MORE
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5. Semi-Supervised Learning for Predicting Biochemical Properties
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The predictive performance of supervised learning methods relies on large amounts of labeled data. Data sets used in Quantitative Structure Activity Relationship modeling often contain a limited amount of labeled data, while unlabeled data is abundant. READ MORE