High‐resolution 1H‐MRSI of the brain using short‐TE SPICE. Issue 2 (2nd February 2016)
- Record Type:
- Journal Article
- Title:
- High‐resolution 1H‐MRSI of the brain using short‐TE SPICE. Issue 2 (2nd February 2016)
- Main Title:
- High‐resolution 1H‐MRSI of the brain using short‐TE SPICE
- Authors:
- Ma, Chao
Lam, Fan
Ning, Qiang
Johnson, Curtis L.
Liang, Zhi‐Pei - Abstract:
- Abstract : Purpose: To improve signal‐to‐noise ratio (SNR) for high‐resolution spectroscopic imaging using a subspace‐based technique known as SPectroscopic Imaging by exploiting spatiospectral CorrElation (SPICE). Methods: The proposed method is based on a union‐of‐subspaces model of MRSI signals, which exploits the partial separability properties of water, lipid, baseline and metabolite signals. Enabled by this model, a special scheme is used for accelerated data acquisition, which includes a double‐echo CSI component used to collect a "training" dataset (for determination of the basis functions) and a short‐TE EPSI component used to collect a sparse "imaging" dataset (for determination of the overall spatiospectral distributions). A set of signal processing algorithms are developed to remove the water and lipid signals and jointly reconstruct the metabolite and baseline signals. Results: In vivo 1 H‐MRSI results show that the proposed method can effectively remove the remaining water and lipid signals from sparse MRSI data acquired at 20 ms TE. Spatiospectral distributions of metabolite signals at 2 mm in‐plane resolution with good SNR were obtained in a 15.5 min scan. Conclusions: The proposed method can effectively remove nuisance signals and reconstruct high‐resolution spatiospectral functions from sparse data to make short‐TE SPICE possible. The method should prove useful for high‐resolution 1 H‐MRSI of the brain. Magn Reson Med 77:467–479, 2017. © 2016 InternationalAbstract : Purpose: To improve signal‐to‐noise ratio (SNR) for high‐resolution spectroscopic imaging using a subspace‐based technique known as SPectroscopic Imaging by exploiting spatiospectral CorrElation (SPICE). Methods: The proposed method is based on a union‐of‐subspaces model of MRSI signals, which exploits the partial separability properties of water, lipid, baseline and metabolite signals. Enabled by this model, a special scheme is used for accelerated data acquisition, which includes a double‐echo CSI component used to collect a "training" dataset (for determination of the basis functions) and a short‐TE EPSI component used to collect a sparse "imaging" dataset (for determination of the overall spatiospectral distributions). A set of signal processing algorithms are developed to remove the water and lipid signals and jointly reconstruct the metabolite and baseline signals. Results: In vivo 1 H‐MRSI results show that the proposed method can effectively remove the remaining water and lipid signals from sparse MRSI data acquired at 20 ms TE. Spatiospectral distributions of metabolite signals at 2 mm in‐plane resolution with good SNR were obtained in a 15.5 min scan. Conclusions: The proposed method can effectively remove nuisance signals and reconstruct high‐resolution spatiospectral functions from sparse data to make short‐TE SPICE possible. The method should prove useful for high‐resolution 1 H‐MRSI of the brain. Magn Reson Med 77:467–479, 2017. © 2016 International Society for Magnetic Resonance in Medicine … (more)
- Is Part Of:
- Magnetic resonance in medicine. Volume 77:Issue 2(2017)
- Journal:
- Magnetic resonance in medicine
- Issue:
- Volume 77:Issue 2(2017)
- Issue Display:
- Volume 77, Issue 2 (2017)
- Year:
- 2017
- Volume:
- 77
- Issue:
- 2
- Issue Sort Value:
- 2017-0077-0002-0000
- Page Start:
- 467
- Page End:
- 479
- Publication Date:
- 2016-02-02
- Subjects:
- short‐TE spectroscopic imaging -- SPectroscopic Imaging by exploiting spatiospectral CorrElation -- partial separability -- union of subspaces -- water and lipid removal -- baseline accommodation
Nuclear magnetic resonance -- Periodicals
Electron paramagnetic resonance -- Periodicals
616.07548 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1522-2594 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/mrm.26130 ↗
- Languages:
- English
- ISSNs:
- 0740-3194
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5337.798000
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