Method for fast lipid reconstruction and removal processing in 1H MRSI of the brain. Issue 6 (2nd August 2021)
- Record Type:
- Journal Article
- Title:
- Method for fast lipid reconstruction and removal processing in 1H MRSI of the brain. Issue 6 (2nd August 2021)
- Main Title:
- Method for fast lipid reconstruction and removal processing in 1H MRSI of the brain
- Authors:
- Adany, Peter
Choi, In‐Young
Lee, Phil - Abstract:
- Abstract : Purpose: To develop a new rapid spatial filtering method for lipid removal, fast lipid reconstruction and removal processing (FLIP), which selectively isolates and removes interfering lipid signals from outside the brain in a full‐FOV 2D MRSI and whole‐brain 3D echo planar spectroscopic imaging (EPSI). Theory and Methods: FLIP uses regularized least‐squares regression based on spatial prior information from MRI to selectively remove lipid signals originating from the scalp and measure the brain metabolite signals with minimum cross contamination. FLIP is a noniterative approach, thus allowing a rapid processing speed, and uses only spatial information without any spectral priors. The performance of FLIP was compared with the Papoulis‐Gerchberg algorithm (PGA), Hankel singular value decomposition (HSVD), and fast image reconstruction with L2 regularization (L2). Results: FLIP in both 2D and 3D MRSI resulted in consistent metabolite quantification in a greater number of voxels with less concentration variation than other algorithms, demonstrating effective and robust lipid‐removal performance. The percentage of voxels that met quality criteria with FLIP, PGA, HSVD, and L2 processing were 90%, 57%, 29%, and 42% in 2D MRSI, and 80%, 75%, 76%, and 74% in 3D EPSI, respectively. The quantification results of full‐FOV MRSI using FLIP were comparable to those of volume‐localized MRSI, while allowing significantly increased spatial coverage. FLIP performed the fastest in 2DAbstract : Purpose: To develop a new rapid spatial filtering method for lipid removal, fast lipid reconstruction and removal processing (FLIP), which selectively isolates and removes interfering lipid signals from outside the brain in a full‐FOV 2D MRSI and whole‐brain 3D echo planar spectroscopic imaging (EPSI). Theory and Methods: FLIP uses regularized least‐squares regression based on spatial prior information from MRI to selectively remove lipid signals originating from the scalp and measure the brain metabolite signals with minimum cross contamination. FLIP is a noniterative approach, thus allowing a rapid processing speed, and uses only spatial information without any spectral priors. The performance of FLIP was compared with the Papoulis‐Gerchberg algorithm (PGA), Hankel singular value decomposition (HSVD), and fast image reconstruction with L2 regularization (L2). Results: FLIP in both 2D and 3D MRSI resulted in consistent metabolite quantification in a greater number of voxels with less concentration variation than other algorithms, demonstrating effective and robust lipid‐removal performance. The percentage of voxels that met quality criteria with FLIP, PGA, HSVD, and L2 processing were 90%, 57%, 29%, and 42% in 2D MRSI, and 80%, 75%, 76%, and 74% in 3D EPSI, respectively. The quantification results of full‐FOV MRSI using FLIP were comparable to those of volume‐localized MRSI, while allowing significantly increased spatial coverage. FLIP performed the fastest in 2D MRSI. Conclusion: FLIP is a new lipid‐removal algorithm that promises fast and effective lipid removal with improved volume coverage in MRSI. … (more)
- Is Part Of:
- Magnetic resonance in medicine. Volume 86:Issue 6(2021)
- Journal:
- Magnetic resonance in medicine
- Issue:
- Volume 86:Issue 6(2021)
- Issue Display:
- Volume 86, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 86
- Issue:
- 6
- Issue Sort Value:
- 2021-0086-0006-0000
- Page Start:
- 2930
- Page End:
- 2944
- Publication Date:
- 2021-08-02
- Subjects:
- full FOV MRSI -- lipid reconstruction -- lipid removal -- spatial‐domain post processing -- whole brain MRSI
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.28949 ↗
- 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
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24532.xml