Abstract
Fourier methods are a natural choice for reconstructing magnetic resonance images (MRI). Unfortunately, however, due to the many different tissues normally present in each scan, the Gibbs ringing artifact often hinders accurate reconstruction. These effects are exacerbated in the presence of random noise, which is inherent in MRI spectral data. Recently, numerical edge detection and reconstruction methods have been developed that effectively reduce the Gibbs oscillations while maintaining high resolution accuracy at the edges. This paper addresses the issue of noise in MRI reconstruction and its effects on the ability to recover the image. The numerical method we apply here not only recovers the images with very high accuracy, but it is also robust in the presence of noise.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - International Symposium on Biomedical Imaging |
| Publisher | IEEE Computer Society |
| Pages | 497-500 |
| Number of pages | 4 |
| Volume | 2002-January |
| ISBN (Print) | 078037584X |
| DOIs | |
| State | Published - 2002 |
| Event | IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Washington, United States Duration: Jul 7 2002 → Jul 10 2002 |
Other
| Other | IEEE International Symposium on Biomedical Imaging, ISBI 2002 |
|---|---|
| Country | United States |
| City | Washington |
| Period | 7/7/02 → 7/10/02 |
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ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging
Cite this
Reducing the effects of noise in MRI reconstruction. / Archibald, Rick; Gelb, Anne.
Proceedings - International Symposium on Biomedical Imaging. Vol. 2002-January IEEE Computer Society, 2002. p. 497-500 1029303.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Reducing the effects of noise in MRI reconstruction
AU - Archibald, Rick
AU - Gelb, Anne
PY - 2002
Y1 - 2002
N2 - Fourier methods are a natural choice for reconstructing magnetic resonance images (MRI). Unfortunately, however, due to the many different tissues normally present in each scan, the Gibbs ringing artifact often hinders accurate reconstruction. These effects are exacerbated in the presence of random noise, which is inherent in MRI spectral data. Recently, numerical edge detection and reconstruction methods have been developed that effectively reduce the Gibbs oscillations while maintaining high resolution accuracy at the edges. This paper addresses the issue of noise in MRI reconstruction and its effects on the ability to recover the image. The numerical method we apply here not only recovers the images with very high accuracy, but it is also robust in the presence of noise.
AB - Fourier methods are a natural choice for reconstructing magnetic resonance images (MRI). Unfortunately, however, due to the many different tissues normally present in each scan, the Gibbs ringing artifact often hinders accurate reconstruction. These effects are exacerbated in the presence of random noise, which is inherent in MRI spectral data. Recently, numerical edge detection and reconstruction methods have been developed that effectively reduce the Gibbs oscillations while maintaining high resolution accuracy at the edges. This paper addresses the issue of noise in MRI reconstruction and its effects on the ability to recover the image. The numerical method we apply here not only recovers the images with very high accuracy, but it is also robust in the presence of noise.
UR - http://www.scopus.com/inward/record.url?scp=84948695120&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84948695120&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2002.1029303
DO - 10.1109/ISBI.2002.1029303
M3 - Conference contribution
AN - SCOPUS:84948695120
SN - 078037584X
VL - 2002-January
SP - 497
EP - 500
BT - Proceedings - International Symposium on Biomedical Imaging
PB - IEEE Computer Society
ER -