Combining parallel detection of proton echo planar spectroscopic imaging (PEPSI) measurements with a data-consistency constraint improves SNR

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題名:	Combining parallel detection of proton echo planar spectroscopic imaging (PEPSI) measurements with a data-consistency constraint improves SNR
作者:	郭文瑞;Tsai, Shang-Yueh;Hsu, Yi-Cheng;Chu, Ying-Hua;Kuo, Wen-Jui;Lin, Fa-Hsuan
貢獻者:	生醫理工學院認知神經科學研究所
關鍵詞:	Adult;Algorithms;Brain - anatomy & histology;Brain - metabolism;data consistency;Echo-Planar Imaging - methods;Female;Humans;Image Enhancement - methods;Male;Mean square errors;Molecular Imaging - methods;proton echo planar spectroscopy imaging;Proton Magnetic Resonance Spectroscopy - methods;regularization;Reproducibility of Results;Sensitivity and Specificity;Signal-To-Noise Ratio;SNR
日期:	2015-12-01
上傳時間:	2026-04-23 14:22:40 (UTC+8)
出版者:	John Wiley and Sons Ltd;England: Blackwell Publishing Ltd
摘要:	摘要： One major challenge of MRSI is the poor signal‐to‐noise ratio (SNR), which can be improved by using a surface coil array. Here we propose to exploit the spatial sensitivity of different channels of a coil array to enforce the k‐space data consistency (DC) in order to suppress noise and consequently to improve MRSI SNR. MRSI data were collected using a proton echo planar spectroscopic imaging (PEPSI) sequence at 3 T using a 32‐channel coil array and were averaged with one, two and eight measurements (avg‐1, avg‐2 and avg‐8). The DC constraint was applied using a regularization parameter λ of 1, 2, 3, 5 or 10. Metabolite concentrations were quantified using LCModel. Our results show that the suppression of noise by applying the DC constraint to PEPSI reconstruction yields up to 32% and 27% SNR gain for avg‐1 and avg‐2 data with λ = 5, respectively. According to the reported Cramer–Rao lower bounds, the improvement in metabolic fitting was significant (p < 0.01) when the DC constraint was applied with λ ≥ 2. Using the DC constraint with λ = 3 or 5 can minimize both root‐mean‐square errors and spatial variation for all subjects using the avg‐8 data set as reference values. Our results suggest that MRSI reconstructed with a DC constraint can save around 70% of scanning time to obtain images and spectra with similar SNRs using λ = 5. Copyright © 2015 John Wiley & Sons, Ltd. An MRSI reconstruction algorithm enforcing the k‐space data consistency (DC) among channels of a coil array is proposed to suppress noise and consequently to improve SNR. Our results show that the suppression of noise by applying a DC constraint (λ) to proton echo planar spectroscopic imaging yields up to 32% and 27% SNR gain for avg‐1 and avg‐2 data with λ = 5, and this results in the lowest spatial variation and root‐mean‐square errors using an avg‐8 data set as reference. DC reconstruction with λ = 5 is recommended to save around 70% of scanning time. 其他題名： NMR Biomed 出版者： England: Blackwell Publishing Ltd 出版日期： 2015-12 出處： NMR in biomedicine, 2015-12, Vol.28 (12), p.1678-1687 資源來源： Wiley Online Library 版權： Copyright © 2015 John Wiley & Sons, Ltd. 識別號： ISSN: 0952-3480 識別號： ISSN: 1099-1492 識別號： EISSN: 1099-1492 識別號： DOI: 10.1002/nbm.3425 識別號： PMID: 26484749
顯示於類別:	[認知與神經科學研究所 ] 期刊論文

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