Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | IEEE Nuclear Science Symposium Conference Record |
| Editors | S.D. Metzler |
| Pages | 2183-2187 |
| Number of pages | 5 |
| Volume | 3 |
| Publication status | Published - 2003 |
| Event | 2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference - Portland, OR, United States Duration: Oct 19 2003 → Oct 25 2003 |
Other
| Other | 2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference |
|---|---|
| Country | United States |
| City | Portland, OR |
| Period | 10/19/03 → 10/25/03 |
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Keywords
- Cardiovascular system
- Motion compensation
- Positron emission tomography
- Respiratory system
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Industrial and Manufacturing Engineering
Cite this
Rigid-body transformation of list-mode projection data for respiratory motion correction in cardiac PET. / Livieratos, L.; Stegger, L.; Bloomfield, P. M.; Schafers, K.; Bailey, D. L.; Camici, P. G.
IEEE Nuclear Science Symposium Conference Record. ed. / S.D. Metzler. Vol. 3 2003. p. 2183-2187 M6-122.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Rigid-body transformation of list-mode projection data for respiratory motion correction in cardiac PET
AU - Livieratos, L.
AU - Stegger, L.
AU - Bloomfield, P. M.
AU - Schafers, K.
AU - Bailey, D. L.
AU - Camici, P. G.
PY - 2003
Y1 - 2003
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.
KW - Cardiovascular system
KW - Motion compensation
KW - Positron emission tomography
KW - Respiratory system
UR - http://www.scopus.com/inward/record.url?scp=11844258219&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=11844258219&partnerID=8YFLogxK
M3 - Conference contribution
VL - 3
SP - 2183
EP - 2187
BT - IEEE Nuclear Science Symposium Conference Record
A2 - Metzler, S.D.
ER -