Abstract
Low signal-to-noise ratio has been a significant limitation for clinical applications of magnetic resonance spectroscopic imaging (MRSI). This paper investigates a new scheme for denoising MRSI data, incorporating both an anatomically-adapted spatial-smoothness constraint and an autoregressive spectral constraint within the penalized maximum-likelihood framework. Both theoretical analysis and simulation results are provided to characterize the denoising performance of this approach.
| Original language | English (US) |
|---|---|
| Title of host publication | 2010 7th IEEE International Symposium on Biomedical Imaging |
| Subtitle of host publication | From Nano to Macro, ISBI 2010 - Proceedings |
| Pages | 720-723 |
| Number of pages | 4 |
| DOIs | |
| State | Published - Aug 9 2010 |
| Event | 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands Duration: Apr 14 2010 → Apr 17 2010 |
Publication series
| Name | 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings |
|---|
Other
| Other | 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 |
|---|---|
| Country | Netherlands |
| City | Rotterdam |
| Period | 4/14/10 → 4/17/10 |
ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging
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Cite this
Nguyen, H. M., Haldar, J. P., Do, M. N., & Liang, Z. P. (2010). Denoising of MR spectroscopic imaging data with spatial-spectral regularization. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings (pp. 720-723). [5490073] (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings). https://doi.org/10.1109/ISBI.2010.5490073