• DocumentCode
    1741211
  • Title

    Use of different time-domain techniques for metabolite maps reconstruction in 1H-MRSI

  • Author

    Sansone, M. ; Cesarelli, M. ; Bifulco, P. ; Bracale, M. ; Tedeschi, G. ; Bonavita, S. ; Salle, F. Di

  • Author_Institution
    Dept. of Electr. Eng. & Telecommun., Naples Univ., Italy
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2002
  • Abstract
    1H-MRSI can provide in vivo information about specific metabolites in biological tissues. The main applications of this technique concern brain studies. However, routine clinical applications are still limited by a variety of factors such as the long acquisition time, poor spatial resolution, the presence of undesired signals coming from water and fat, difficulties in data-processing. These problems can be addressed with two different approaches: the design of new excitation pulse sequences, and the improvement of data-processing techniques. In this preliminary study the latter approach has been adopted. Echoes are acquired without any suppression pulses sequence: the undesired signal coming from water is attenuated by means of an opportune processing, using a filtering technique based on SVD. A specific algorithm for peak detection based upon iterative fitting (VARPRO) was developed. Maps relative to the four main metabolites in the brain are reconstructed and presented
  • Keywords
    biological tissues; biomedical MRI; biomedical NMR; brain; filtering theory; image reconstruction; iterative methods; medical image processing; proton magnetic resonance; singular value decomposition; spectroscopy computing; time-domain analysis; SVD based filtering technique; VARPRO algorithm; biological tissues; brain metabolites; excitation pulse sequences; improved data-processing; iterative fitting; metabolite maps reconstruction; opportune processing; peak detection algorithm; proton MRS imaging; time-domain techniques; Biological tissues; Filtering; Image reconstruction; In vivo; Iterative algorithms; Magnetic resonance imaging; Pathology; Signal processing; Spatial resolution; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-6465-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.2000.900488
  • Filename
    900488