Abstract
Large arrays with localized coil sensitivity make it possible to use parallel imaging to significantly accelerate MR imaging speed. However, the need for auto calibration signals limits the actual acceleration factors achievable with large arrays. This paper presents a novel method for parallel imaging with large arrays. The method uses Sinc kernels for k-space data interpolation that only requires one phase parameter to be estimated using a small size of calibration signals. Phantom experiments show that the new method can achieve higher actual acceleration factors with comparable reconstruction quality.
| Original language | English |
|---|---|
| Title of host publication | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 |
| Pages | 795-798 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States Duration: 30 Mar 2011 → 2 Apr 2011 |
Other
| Other | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 |
|---|---|
| Country | United States |
| City | Chicago, IL |
| Period | 30/3/11 → 2/4/11 |
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Keywords
- Large Array
- Parallel Imaging
- Phase Calibration
- Sinc Interpolation
ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging
Cite this
Parallel magnetic resonance imaging with localized arrays and Sinc interpolation (PILARS). / Feng, Shuo; Ji, Jim.
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. 2011. p. 795-798 5872525.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Parallel magnetic resonance imaging with localized arrays and Sinc interpolation (PILARS)
AU - Feng, Shuo
AU - Ji, Jim
PY - 2011
Y1 - 2011
N2 - Large arrays with localized coil sensitivity make it possible to use parallel imaging to significantly accelerate MR imaging speed. However, the need for auto calibration signals limits the actual acceleration factors achievable with large arrays. This paper presents a novel method for parallel imaging with large arrays. The method uses Sinc kernels for k-space data interpolation that only requires one phase parameter to be estimated using a small size of calibration signals. Phantom experiments show that the new method can achieve higher actual acceleration factors with comparable reconstruction quality.
AB - Large arrays with localized coil sensitivity make it possible to use parallel imaging to significantly accelerate MR imaging speed. However, the need for auto calibration signals limits the actual acceleration factors achievable with large arrays. This paper presents a novel method for parallel imaging with large arrays. The method uses Sinc kernels for k-space data interpolation that only requires one phase parameter to be estimated using a small size of calibration signals. Phantom experiments show that the new method can achieve higher actual acceleration factors with comparable reconstruction quality.
KW - Large Array
KW - Parallel Imaging
KW - Phase Calibration
KW - Sinc Interpolation
UR - http://www.scopus.com/inward/record.url?scp=80055026992&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80055026992&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2011.5872525
DO - 10.1109/ISBI.2011.5872525
M3 - Conference contribution
AN - SCOPUS:80055026992
SN - 9781424441280
SP - 795
EP - 798
BT - 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
ER -