Development of a particle filter framework for respiratory motion correction in nuclear medicine imaging


This research aims to develop a methodological framework based on a data driven approach known as particle filters, often found in computer vision methods, to correct the effect of respiratory motion on Nuclear Medicine imaging data. Particles filters are a popular class of numerical methods for solving optimal estimation problems and we wish to use their… (More)
DOI: 10.1117/12.844424


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