• DocumentCode
    2135462
  • Title

    Locally focused magnetic resonance imaging

  • Author

    Cao, Yue ; Levin, David N.

  • Author_Institution
    Dept. of Radiol., Chicago Univ., IL, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    30
  • Abstract
    Conventional magnetic resonance (MR) images are reconstructed by Fourier transformation and have uniform spatial resolution across the entire field of view (FOV). The present paper describes a way of creating MR images which have higher spatial resolution in some areas than in others. Such locally focused images can be acquired in less scan time than that required to image the entire FOV with uniformly high resolution. After the user specifies the spatial resolution desired in each portion of the FOV,the algorithm automatically generates image basis functions which oscillate most rapidly in the zones with highest resolution. Images are reconstructed by summing a series of these basis functions, with coefficients calculated from a subset of the usual phase-encoded signals required to create an image with uniformly high spatial resolution. The algorithm also determines which phase-encodings are optimal for this purpose, and these are usually non-uniformly scattered in k-space. Functional and interventional imaging may benefit from this technique, which makes it possible to acquire a rapid series of dynamical images which have high resolution in areas of expected change and lower resolution elsewhere
  • Keywords
    biomedical NMR; brain; image coding; image reconstruction; image resolution; medical image processing; MR images; dynamical images; field of view; functional imaging; image basis functions; interventional imaging; k-space; locally focused magnetic resonance imaging; phase-encoded signals; spatial resolution; Focusing; High-resolution imaging; Image generation; Image reconstruction; Image resolution; Magnetic resonance; Magnetic resonance imaging; Scattering; Signal resolution; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413894
  • Filename
    413894