A novel acquisition-reconstruction algorithm for surface magnetic resonance imaging (Articolo in rivista)

Type
Label
  • A novel acquisition-reconstruction algorithm for surface magnetic resonance imaging (Articolo in rivista) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Alternative label
  • Franchi, D; Sotgiu, A; Placidi, G (2008)
    A novel acquisition-reconstruction algorithm for surface magnetic resonance imaging
    in Magnetic resonance imaging
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Franchi, D; Sotgiu, A; Placidi, G (literal)
Pagina inizio
  • 1303 (literal)
Pagina fine
  • 1309 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 26 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • \"[Franchi, Danilo; Sotgiu, Antonello; Placidi, Giuseppe] Univ Aquila, CNISM INFM, Dept Hlth Sci, I-67100 Laquila, Italy (literal)
Titolo
  • A novel acquisition-reconstruction algorithm for surface magnetic resonance imaging (literal)
Abstract
  • \"In U-shaped, hand-size magnetic resonance surface scanners, imaging is performed along only one spatial direction, with the application of just one gradient (one-dimensional imaging). Lateral spatial resolution can be obtained by magnet displacement, but, in this case, resolution is very poor (on the order of some millimeters) and cannot be useful for high-resolution imaging applications. In this article, an innovative technique for acquisition and reconstruction of images produced by U-shaped, hand-size MRI surface scanners is presented. The proposed method is based on the acquisition of overlapping strips and an analytical reconstruction technique; it is capable of arbitrarily improving spatial lateral resolution without either using a second magnetic field gradient or making any assumptions about the imaged sample extension. Numerical simulations on synthetic images are reported demonstrating the method functionalities. The presented method also makes it possible to use U-shaped, hand-size MRI surface scanners for high-resolution biomedical applications, such as the imaging of skin lesions. (c) 2008 Elsevier Inc. All rights reserved.\" (literal)
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