• Login
    View Item 
    •   Home
    • Research
    • Articles
    • View Item
    •   Home
    • Research
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    Residual Water Suppression using the Squared Eigenfunctions of the Schrödinger Operator

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    SCSA_WaterSuppression.pdf
    Size:
    1.260Mb
    Format:
    PDF
    Description:
    Accepted Manuscript
    Download
    Type
    Article
    Authors
    Chahid, Abderrazak cc
    Bhaduri, Sourav
    Maoui, Mohamed
    Achten, Eric
    Serrai, Hacene
    Laleg-Kirati, Taous-Meriem cc
    KAUST Department
    Computational Bioscience Research Center
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering
    Electrical Engineering Program
    Date
    2019
    Permanent link to this record
    http://hdl.handle.net/10754/655512
    
    Metadata
    Show full item record
    Abstract
    Water suppression, in proton magnetic resonance spectroscopy (MRS) using post-processing techniques, is very challenging due to the large amplitude of the water line, which shadows the metabolic peaks with small amplitudes and complicates their quantification. In addition, the peak-shaped structure of these spectra and the relatively small number of data points representing them makes the suppression process more cumbersome. In this paper, a post-processing water suppression technique based on the Schrödinger operator is proposed. The method is based on the decomposition of the input MRS spectrum, using the squared eigenfunctions of a semi-classical Schrödinger operator. The proposed approach proceeds in three steps: first, the water peak is estimated using an optimal choice of the value of h to reconstruct the MRS spectrum with a minimum number of eigenfunctions. Second, these estimated eigenfunctions are further refined to ensure that they only represent the water line with no contribution from the metabolite peaks. Finally, the estimated water peak is subtracted from the input MRS spectrum. The proposed method is tested on simulated in vitro and real in vivo MRS data and compared with the Hankel–Lanczos singular value decomposition with partial reorthogonalization (HLSVD-PRO) method. The results obtained show that the semi-classical signal analysis (SCSA) performs comparably to the HLSVD-PRO in accurately suppressing the water peak.
    Citation
    Chahid, A., Bhaduri, S., Maoui, M., Achten, E., Serrai, H., & Laleg-Kirati, T.-M. (2019). Residual Water Suppression Using the Squared Eigenfunctions of the Schrödinger Operator. IEEE Access, 7, 69126–69137. doi:10.1109/access.2019.2918286
    Sponsors
    The authors would like to thank Dr. Sabine Van Huffel from the University of Leuven for the use of the HLSVD software,Ms. Patricia Clement and Ghent Institute for Functional and Metabolic Imaging (GIfMI) team for their help in the in vivo data acquisition.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Access
    DOI
    10.1109/access.2019.2918286
    Additional Links
    https://ieeexplore.ieee.org/document/8720157
    ae974a485f413a2113503eed53cd6c53
    10.1109/access.2019.2918286
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

    entitlement

     
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.