Abstract
The Generalized SENSE algorithm has previously been proposed to reconstruct high-resolution MRI data obtained using incomplete spatial sampling with multi-channel detection. In this report a modification of this algorithm is presented and applied to Magnetic Resonance Spectroscopic Imaging (MRSI) data. It is shown that this reconstruction method enables a decrease in data acquisition time to be obtained with minimal impact on image quality.
| Original language | English |
|---|---|
| Title of host publication | 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings |
| Pages | 25-28 |
| Number of pages | 4 |
| Volume | 2006 |
| State | Published - Nov 17 2006 |
| Event | 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States Duration: Apr 6 2006 → Apr 9 2006 |
Other
| Other | 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro |
|---|---|
| Country | United States |
| City | Arlington, VA |
| Period | 4/6/06 → 4/9/06 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
MRSI data reconstruction with generalized sense. / Bao, Yufang; Maudsley, Andrew A.
2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. Vol. 2006 2006. p. 25-28 1624843.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - MRSI data reconstruction with generalized sense
AU - Bao, Yufang
AU - Maudsley, Andrew A
PY - 2006/11/17
Y1 - 2006/11/17
N2 - The Generalized SENSE algorithm has previously been proposed to reconstruct high-resolution MRI data obtained using incomplete spatial sampling with multi-channel detection. In this report a modification of this algorithm is presented and applied to Magnetic Resonance Spectroscopic Imaging (MRSI) data. It is shown that this reconstruction method enables a decrease in data acquisition time to be obtained with minimal impact on image quality.
AB - The Generalized SENSE algorithm has previously been proposed to reconstruct high-resolution MRI data obtained using incomplete spatial sampling with multi-channel detection. In this report a modification of this algorithm is presented and applied to Magnetic Resonance Spectroscopic Imaging (MRSI) data. It is shown that this reconstruction method enables a decrease in data acquisition time to be obtained with minimal impact on image quality.
UR - http://www.scopus.com/inward/record.url?scp=33750961056&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33750961056&partnerID=8YFLogxK
M3 - Conference contribution
SN - 0780395778
SN - 9780780395770
VL - 2006
SP - 25
EP - 28
BT - 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
ER -