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Ahdi, Alieh, Setaredan, Seyed Kamaledin, Vahabie, Abdol-Hossein. (1405). A Hybrid HSVD–CEMD Denoising Framework for Improved Spectral Quality in Proton MRS. سامانه مدیریت نشریات علمی, (), -. doi: 10.31661/jbpe.v0i0.2510-2006
Alieh Ahdi; Seyed Kamaledin Setaredan; Abdol-Hossein Vahabie. "A Hybrid HSVD–CEMD Denoising Framework for Improved Spectral Quality in Proton MRS". سامانه مدیریت نشریات علمی, , , 1405, -. doi: 10.31661/jbpe.v0i0.2510-2006
Ahdi, Alieh, Setaredan, Seyed Kamaledin, Vahabie, Abdol-Hossein. (1405). 'A Hybrid HSVD–CEMD Denoising Framework for Improved Spectral Quality in Proton MRS', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.31661/jbpe.v0i0.2510-2006
Ahdi, Alieh, Setaredan, Seyed Kamaledin, Vahabie, Abdol-Hossein. A Hybrid HSVD–CEMD Denoising Framework for Improved Spectral Quality in Proton MRS. سامانه مدیریت نشریات علمی, 1405; (): -. doi: 10.31661/jbpe.v0i0.2510-2006

A Hybrid HSVD–CEMD Denoising Framework for Improved Spectral Quality in Proton MRS

Journal of Biomedical Physics and Engineering
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 27 تیر 1405    اصل مقاله (2.16 M)
نوع مقاله: Original Research
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.2510-2006
نویسندگان
Alieh Ahdi* 1؛ Seyed Kamaledin Setaredan2؛ Abdol-Hossein Vahabie3
1Department of Biomedical Engineering, University of Eyvanekey, Eyvanekey, Iran
2School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
3Cognitive Systems Laboratory, Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
چکیده
Background: Magnetic Resonance Spectroscopy (MRS) enables noninvasive assessment of brain metabolites, but is often limited by low Signal to Noise Ratio (SNR) and structured artifacts, such as residual water peaks. Conventional denoising methods, including Hankel Singular Value Decomposition (HSVD) and Empirical Mode Decomposition (EMD), address specific noise types but have complementary limitations.
Objective: This study aimed to develop and evaluate a hybrid HSVD and Complex Empirical Mode Decomposition (CEMD) framework for in vivo proton MRS of the Alzheimer’s brain.
Material and Methods: This retrospective observational in vivo methodological study analyzed single-voxel proton MRS (¹H-MRS) data acquired from 20 Alzheimer’s patients using a 3T Magnetic Resonance Imaging (MRI) scanner. HSVD was first applied to suppress structured residuals, followed by CEMD to remove stochastic high-frequency noise. Performance was assessed using spectral SNR, residual water amplitude, and metabolite linewidths, and compared with conventional averaging, HSVD-only, and CEMD-only approaches.
Results: The hybrid HSVD+CEMD approach achieved the highest SNR (3.24±1.03), reduced linewidths (18.83±4.11 Hz), and preserved key metabolite peaks, outperforming individual methods. 
Conclusion: Combining model-based and data-driven denoising provides robust noise reduction while maintaining spectral fidelity, enhancing reliable metabolite quantification in clinical MRS applications, including Alzheimer’s studies.
کلیدواژه‌ها
Magnetic Resonance Spectroscopy؛ Magnetic Resonance Imaging؛ Brain؛ Signal Processing, Computer-Assisted؛ Hankel Singular Value Decomposition (HSVD)؛ Complex Empirical Mode Decomposition (CEMD)؛ Hybrid Denoising؛ Spectrum Analysis
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