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 (US) |
|---|---|
| Title of host publication | 2006 3rd IEEE International Symposium on Biomedical Imaging |
| Subtitle of host publication | From Nano to Macro - Proceedings |
| Pages | 25-28 |
| Number of pages | 4 |
| 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 |
Publication series
| Name | 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings |
|---|---|
| Volume | 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 |
ASJC Scopus subject areas
- Engineering(all)
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Cite this
Bao, Y., & Maudsley, A. A. (2006). MRSI data reconstruction with generalized sense. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 25-28). [1624843] (2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings; Vol. 2006).