Abstract
The quality of images produced by iterative image reconstruction methods is directly affected by the accuracy of the system model being used. Although the system response of an imaging system can be computed or measured with high accuracy, practical constraints on computation cost ofien force the adoption of various approximations to the system model to obtain a computationally efficient system matrix. These approximations inevitably cause artifacts in reconstructed image. In this work we propose a residual correction method for iterative reconstruction to reduce reconstruction artifact caused by the model inaccuracies. Unlike conventional iterative methods which assume that the system matrix is accurate, the proposed method reconstructs an initial image with an approximate system model and then corrects for the reconstruction artifacts by introducing a data correction term to compensate for the model inaccuracies. Computer simulation showed that the proposed method can significantly improve image quality in terms of objective function value compared to approximate algorithms, while it is computationally more efficient than the conventional method that uses the accurate system model at every iteration.
| Original language | English (US) |
|---|---|
| Title of host publication | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI |
| Pages | 1311-1314 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2008 |
| Event | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France Duration: May 14 2008 → May 17 2008 |
Other
| Other | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI |
|---|---|
| Country | France |
| City | Paris |
| Period | 5/14/08 → 5/17/08 |
Fingerprint
Keywords
- Artifact correction
- Error propagation
- Iterative reconstruction
- System matrix
ASJC Scopus subject areas
- Biomedical Engineering
Cite this
A residual correction method for iterative reconstruction with inaccurate system model. / Fu, Lin; Qi, Jinyi.
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. 2008. p. 1311-1314 4541245.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A residual correction method for iterative reconstruction with inaccurate system model
AU - Fu, Lin
AU - Qi, Jinyi
PY - 2008
Y1 - 2008
N2 - The quality of images produced by iterative image reconstruction methods is directly affected by the accuracy of the system model being used. Although the system response of an imaging system can be computed or measured with high accuracy, practical constraints on computation cost ofien force the adoption of various approximations to the system model to obtain a computationally efficient system matrix. These approximations inevitably cause artifacts in reconstructed image. In this work we propose a residual correction method for iterative reconstruction to reduce reconstruction artifact caused by the model inaccuracies. Unlike conventional iterative methods which assume that the system matrix is accurate, the proposed method reconstructs an initial image with an approximate system model and then corrects for the reconstruction artifacts by introducing a data correction term to compensate for the model inaccuracies. Computer simulation showed that the proposed method can significantly improve image quality in terms of objective function value compared to approximate algorithms, while it is computationally more efficient than the conventional method that uses the accurate system model at every iteration.
AB - The quality of images produced by iterative image reconstruction methods is directly affected by the accuracy of the system model being used. Although the system response of an imaging system can be computed or measured with high accuracy, practical constraints on computation cost ofien force the adoption of various approximations to the system model to obtain a computationally efficient system matrix. These approximations inevitably cause artifacts in reconstructed image. In this work we propose a residual correction method for iterative reconstruction to reduce reconstruction artifact caused by the model inaccuracies. Unlike conventional iterative methods which assume that the system matrix is accurate, the proposed method reconstructs an initial image with an approximate system model and then corrects for the reconstruction artifacts by introducing a data correction term to compensate for the model inaccuracies. Computer simulation showed that the proposed method can significantly improve image quality in terms of objective function value compared to approximate algorithms, while it is computationally more efficient than the conventional method that uses the accurate system model at every iteration.
KW - Artifact correction
KW - Error propagation
KW - Iterative reconstruction
KW - System matrix
UR - http://www.scopus.com/inward/record.url?scp=51049114898&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51049114898&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2008.4541245
DO - 10.1109/ISBI.2008.4541245
M3 - Conference contribution
AN - SCOPUS:51049114898
SN - 9781424420032
SP - 1311
EP - 1314
BT - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
ER -