TY - JOUR
T1 - Rigid-body transformation of list-mode projection data for respiratory motion correction in cardiac PET
AU - Livieratos, Lefteris
AU - Stegger, L.
AU - Bloomfield, P.M.
AU - Schafers, K.
AU - Bailey, D.L.
AU - Camici, P.G.
PY - 2003/1/1
Y1 - 2003/1/1
N2 - Respiratory motion is a source of artefacts and quantification errors in cardiac imaging. Preliminary studies with retrospective respiratory gating in PET support the observation of other imaging modalities of a rigid-body motion of the heart during respiration. However, the use of gating techniques to eliminate motion may result in poor count statistics per reconstructed image. We have implemented a motion correction technique which applies rigid-body transformations on list-mode data event-by-event on the basis of a geometric model of intersection of the lines-of-response with the scanner. Pre-correction for detector efficiencies and photon attenuation before transformation are included in the process. Projection data are acquired together with physiological signal (every ms) from an inductive respiration monitor with an elasticked belt at chest level. Data are retrospectively sorted into separate respiratory gates on an off-line workstation. Transformation parameters relating the gated images, estimated by means of image registration, can be applied on the original list-mode data to obtain a single motion-corrected dataset. The accuracy of the technique was assessed with point source data and a good correlation between applied and measured transformations, estimated from the centroid of the source, was observed. The technique was applied on phantom data with simulated respiratory motion and on patient data with C15O and 18FDG. Quantitative assessment of preliminary C15O patient datasets showed at least 4.5% improvement in the recovery coefficient at the centre of the left ventricle.
AB - Respiratory motion is a source of artefacts and quantification errors in cardiac imaging. Preliminary studies with retrospective respiratory gating in PET support the observation of other imaging modalities of a rigid-body motion of the heart during respiration. However, the use of gating techniques to eliminate motion may result in poor count statistics per reconstructed image. We have implemented a motion correction technique which applies rigid-body transformations on list-mode data event-by-event on the basis of a geometric model of intersection of the lines-of-response with the scanner. Pre-correction for detector efficiencies and photon attenuation before transformation are included in the process. Projection data are acquired together with physiological signal (every ms) from an inductive respiration monitor with an elasticked belt at chest level. Data are retrospectively sorted into separate respiratory gates on an off-line workstation. Transformation parameters relating the gated images, estimated by means of image registration, can be applied on the original list-mode data to obtain a single motion-corrected dataset. The accuracy of the technique was assessed with point source data and a good correlation between applied and measured transformations, estimated from the centroid of the source, was observed. The technique was applied on phantom data with simulated respiratory motion and on patient data with C15O and 18FDG. Quantitative assessment of preliminary C15O patient datasets showed at least 4.5% improvement in the recovery coefficient at the centre of the left ventricle.
UR - http://www.scopus.com/inward/record.url?partnerID=yv4JPVwI&eid=2-s2.0-11844258219&md5=8980f809350ec68239f6fe1853f0e306
M3 - Article
AN - SCOPUS:11844258219
SN - 1095-7863
VL - 3
SP - 2183
EP - 2187
JO - 1997 IEEE Nuclear Science Symposium Conference Record (Cat. No.97CH36135)
JF - 1997 IEEE Nuclear Science Symposium Conference Record (Cat. No.97CH36135)
ER -