Abstract
Positron Emission Tomography (PET) is an established functional imaging modality but its practical deployment is hampered by motion artefacts. This paper proposes a method for correcting reconstructed PET images through a list-mode rebinning process. Respiratory motion is compensated for by applying 2D affine transforms to the respiratory gated sequence of line-of-response events prior to image reconstruction. The affine transforms are derived from a non-rigid 3D/3D registration model derived from retrospectively gated MRI acquisitions of the same patient with free-breathing. The proposed motion correction scheme is evaluated with a simulation framework where the improvement in image quality is assessed by using data acquired from 10 normal subjects.
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© 2006 Springer-Verlag Berlin Heidelberg
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Chung, A.J., Camici, P.G., Yang, GZ. (2006). List-Mode Affine Rebinning for Respiratory Motion Correction in PET Cardiac Imaging. In: Yang, GZ., Jiang, T., Shen, D., Gu, L., Yang, J. (eds) Medical Imaging and Augmented Reality. MIAR 2006. Lecture Notes in Computer Science, vol 4091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11812715_37
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DOI: https://doi.org/10.1007/11812715_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37220-2
Online ISBN: 978-3-540-37221-9
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