Abstract
We have developed a visual-tracking-system (VTS) which uses stereo-imaging to track the motion of markers on patients during cardiac SPECT imaging with the goal of using the tracked motion to correct for patient motion. The aim of this study is to determine using MRI in volunteers if the rigid-bodymotion (RBM) model can be used to predict the motion of the heart within the chest from the motion of markers on the surface of the chest. Our methodology for investigating body-motion separate from the influence of respiration is to have the volunteer hold their breath during the acquisition of a sequence of 2 sets of EKG-triggered MRI sagittal slices covering the heart, the first set pre-motion and the second post-motion. We link the acquisition of these studies such that this process takes ∼ 45 seconds from the initiation of the first acquisition till the volunteer is given the instruction to resume breathing. An analysis of the combined motion of the individual markers on the chest is used to obtain an estimate of the six-degree-of-freedom (6DOF) RBM motion of the volunteer. The motion of the heart within the slices is estimated by semi-automatic 3D segmentation of the heart region in the second set of slices and subsequent registration of this region to the first set of slices. Studies in which the volunteer did not intentionally move between the 2 acquisitions were used to establish a baseline for agreement between the 2 methods of motion estimation for small motions. The agreement between the VTS and MRI estimates of motion was good in this "no-motion" case with a maximum difference of
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE Nuclear Science Symposium Conference Record |
| Pages | 4306-4310 |
| Number of pages | 5 |
| DOIs | |
| State | Published - 2008 |
| Externally published | Yes |
| Event | 2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008 - Dresden, Germany Duration: Oct 19 2008 → Oct 25 2008 |
Other
| Other | 2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008 |
|---|---|
| Country | Germany |
| City | Dresden |
| Period | 10/19/08 → 10/25/08 |
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ASJC Scopus subject areas
- Radiation
- Nuclear and High Energy Physics
- Radiology Nuclear Medicine and imaging
Cite this
MRI based assessment of the extent to which stereo-tracking of markers on the chest can predict Motion ofthe heart. / King, Michael A.; Dey, Joyoni; McNamara, Joseph E.; Johnson, Karen; Mitra, Joyeeta; Pretorius, Hendrik; Lehovich, Andre; Gu, Songxiang; Walvick, Ronn; Sun, Yanping; Ford, John.
IEEE Nuclear Science Symposium Conference Record. 2008. p. 4306-4310 4774236.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - MRI based assessment of the extent to which stereo-tracking of markers on the chest can predict Motion ofthe heart
AU - King, Michael A.
AU - Dey, Joyoni
AU - McNamara, Joseph E.
AU - Johnson, Karen
AU - Mitra, Joyeeta
AU - Pretorius, Hendrik
AU - Lehovich, Andre
AU - Gu, Songxiang
AU - Walvick, Ronn
AU - Sun, Yanping
AU - Ford, John
PY - 2008
Y1 - 2008
N2 - We have developed a visual-tracking-system (VTS) which uses stereo-imaging to track the motion of markers on patients during cardiac SPECT imaging with the goal of using the tracked motion to correct for patient motion. The aim of this study is to determine using MRI in volunteers if the rigid-bodymotion (RBM) model can be used to predict the motion of the heart within the chest from the motion of markers on the surface of the chest. Our methodology for investigating body-motion separate from the influence of respiration is to have the volunteer hold their breath during the acquisition of a sequence of 2 sets of EKG-triggered MRI sagittal slices covering the heart, the first set pre-motion and the second post-motion. We link the acquisition of these studies such that this process takes ∼ 45 seconds from the initiation of the first acquisition till the volunteer is given the instruction to resume breathing. An analysis of the combined motion of the individual markers on the chest is used to obtain an estimate of the six-degree-of-freedom (6DOF) RBM motion of the volunteer. The motion of the heart within the slices is estimated by semi-automatic 3D segmentation of the heart region in the second set of slices and subsequent registration of this region to the first set of slices. Studies in which the volunteer did not intentionally move between the 2 acquisitions were used to establish a baseline for agreement between the 2 methods of motion estimation for small motions. The agreement between the VTS and MRI estimates of motion was good in this "no-motion" case with a maximum difference of
AB - We have developed a visual-tracking-system (VTS) which uses stereo-imaging to track the motion of markers on patients during cardiac SPECT imaging with the goal of using the tracked motion to correct for patient motion. The aim of this study is to determine using MRI in volunteers if the rigid-bodymotion (RBM) model can be used to predict the motion of the heart within the chest from the motion of markers on the surface of the chest. Our methodology for investigating body-motion separate from the influence of respiration is to have the volunteer hold their breath during the acquisition of a sequence of 2 sets of EKG-triggered MRI sagittal slices covering the heart, the first set pre-motion and the second post-motion. We link the acquisition of these studies such that this process takes ∼ 45 seconds from the initiation of the first acquisition till the volunteer is given the instruction to resume breathing. An analysis of the combined motion of the individual markers on the chest is used to obtain an estimate of the six-degree-of-freedom (6DOF) RBM motion of the volunteer. The motion of the heart within the slices is estimated by semi-automatic 3D segmentation of the heart region in the second set of slices and subsequent registration of this region to the first set of slices. Studies in which the volunteer did not intentionally move between the 2 acquisitions were used to establish a baseline for agreement between the 2 methods of motion estimation for small motions. The agreement between the VTS and MRI estimates of motion was good in this "no-motion" case with a maximum difference of
UR - http://www.scopus.com/inward/record.url?scp=67649220024&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67649220024&partnerID=8YFLogxK
U2 - 10.1109/NSSMIC.2008.4774236
DO - 10.1109/NSSMIC.2008.4774236
M3 - Conference contribution
AN - SCOPUS:67649220024
SN - 9781424427154
SP - 4306
EP - 4310
BT - IEEE Nuclear Science Symposium Conference Record
ER -