Essays about: "image acquisition"
Showing result 16 - 20 of 120 essays containing the words image acquisition.
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16. Spatiotemporal PET reconstruction with Learned Registration
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Because of the long acquisition time of Positron Emission Tomography scanners, the reconstructed images are blurred by motion. We hereby propose a novel motion-correction maximum-likelihood expectation-maximization algorithm integrating 3D movements between the different gates estimated by a neural network trained on synthetic data with contrast invariance. READ MORE
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17. Assessing the Extent of Diffuse Liver Disease: Quality Assurance of Magnetic Resonance Elastography (MRE)
University essay from Umeå universitet/Institutionen för fysikAbstract : The mechanical properties of liver tissue such as stiffness are closely correlated with various diseases. Magnetic resonance elastography (MRE) aims at estimating these mechanical properties by imaging the waves induced by an external driver in the liver. READ MORE
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18. Representation learning for single cell morphological phenotyping
University essay from Umeå universitet/Institutionen för fysikAbstract : Preclinical research for developing new drugs is a long and expensive procedure. Experiments relying on image acquisition and analysis tend to be low throughput and use reporter systems that may influence the studied cells. READ MORE
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19. Preliminary study of image analysis and machine learning methods to detect cattle on pasture in images taken from DJI drones
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : Automation of tasks are progressing fast together with new improved technology. This together with increased availability of drones in various price-ranges has great potential for many automated computer vision tasks since drones are often equipped with high-tech cameras ofmany different kinds. READ MORE
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20. Synthesis of Pediatric Brain Tumor Image With Mass Effect
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : During the last few years, deep learning-based techniques have made much progress in the medical image processing field, such as segmentation and registration. The main characteristic of these methods is the large demand of medical images to do model training. READ MORE