Adaptively optimized combination (AOC) of magnetic resonance spectroscopy data from phased array coils. Issue 6 (20th July 2015)
- Record Type:
- Journal Article
- Title:
- Adaptively optimized combination (AOC) of magnetic resonance spectroscopy data from phased array coils. Issue 6 (20th July 2015)
- Main Title:
- Adaptively optimized combination (AOC) of magnetic resonance spectroscopy data from phased array coils
- Authors:
- Fang, Liang
Wu, Minjie
Ke, Hengyu
Kumar, Anand
Yang, Shaolin - Abstract:
- Abstract : Purpose: MR spectroscopy (MRS) can benefit from multi‐element coil arrays with enhanced signal‐to‐noise ratio (SNR). However, how to combine the MRS data in an optimized way from a multi‐element coil array has been studied much less than MRI. A recently published method and routine combination methods have detrimental effects on SNR. We present herein a new method for optimal combination of multi‐coil MRS data. Methods: Based on an analytical solution for maximizing the SNR of the combined spectrum, a new method called "adaptively optimized combination (AOC)" of MRS data from phased array coils was developed in which the inversion of the full noise correlation matrix was incorporated into the coil weighting coefficients. Simulations were carried out to demonstrate the superior performance of the proposed AOC method in various noise scenarios. Validation experiments on human subjects were performed with different voxel locations and sizes on a 3T MRI scanner using an eight‐element phased array head coil. Results: Compared with a recently published method (i.e., weighting with the ratio of signal to the square of noise) and routine methods, our proposed AOC method adaptively and robustly produced significant SNR improvement in the combined spectra. Conclusion: The simulation and human experiments demonstrate that the proposed AOC method represents the theoretical optimal combination of MR spectroscopic data from multi‐element coil arrays. Magn Reson MedAbstract : Purpose: MR spectroscopy (MRS) can benefit from multi‐element coil arrays with enhanced signal‐to‐noise ratio (SNR). However, how to combine the MRS data in an optimized way from a multi‐element coil array has been studied much less than MRI. A recently published method and routine combination methods have detrimental effects on SNR. We present herein a new method for optimal combination of multi‐coil MRS data. Methods: Based on an analytical solution for maximizing the SNR of the combined spectrum, a new method called "adaptively optimized combination (AOC)" of MRS data from phased array coils was developed in which the inversion of the full noise correlation matrix was incorporated into the coil weighting coefficients. Simulations were carried out to demonstrate the superior performance of the proposed AOC method in various noise scenarios. Validation experiments on human subjects were performed with different voxel locations and sizes on a 3T MRI scanner using an eight‐element phased array head coil. Results: Compared with a recently published method (i.e., weighting with the ratio of signal to the square of noise) and routine methods, our proposed AOC method adaptively and robustly produced significant SNR improvement in the combined spectra. Conclusion: The simulation and human experiments demonstrate that the proposed AOC method represents the theoretical optimal combination of MR spectroscopic data from multi‐element coil arrays. Magn Reson Med 75:2235–2244, 2016. © 2015 Wiley Periodicals, Inc. … (more)
- Is Part Of:
- Magnetic resonance in medicine. Volume 75:Issue 6(2016)
- Journal:
- Magnetic resonance in medicine
- Issue:
- Volume 75:Issue 6(2016)
- Issue Display:
- Volume 75, Issue 6 (2016)
- Year:
- 2016
- Volume:
- 75
- Issue:
- 6
- Issue Sort Value:
- 2016-0075-0006-0000
- Page Start:
- 2235
- Page End:
- 2244
- Publication Date:
- 2015-07-20
- Subjects:
- magnetic resonance spectroscopy -- phased array -- coil combination -- signal‐to‐noise ratio -- noise characteristics
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.25786 ↗
- 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:
- 2240.xml