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

Abstract

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

Topics

9 Figures and Tables

Slides referencing similar topics