Physiological motion is an important factor in several medical imaging applications. The speed of motion may inhibit the acquisition of high-resolution images needed for effective visualization and analysis, for example, in cardiac or respiratory imaging or in functional magnetic resonance imaging (fMRI) and perfusion applications. Additionally, in cardiac and fetal imaging, the variation in the frame of reference may confound automated analysis pipelines. The underlying motion may also need to be characterized either to enhance images or for clinical assessment. Techniques are therefore needed for faster or more accurate reconstruction or for analysis of time-dependent images. Despite the related concerns, few meetings have focused on the issues caused by motion in medical imaging, without restriction on the clinical application area or methodology used.
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