A linear model for chirp-pulse microwave computerized tomography: applicability conditions (Articolo in rivista)

Type
Label
  • A linear model for chirp-pulse microwave computerized tomography: applicability conditions (Articolo in rivista) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1088/0266-5611/22/6/018 (literal)
Alternative label
  • AM Massone; M Miyakawa; M Piana; F Conte; M Bertero (2006)
    A linear model for chirp-pulse microwave computerized tomography: applicability conditions
    in Inverse problems (Print); IOP Publishing Ltd., Bristol BS1 6BE (Regno Unito)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • AM Massone; M Miyakawa; M Piana; F Conte; M Bertero (literal)
Pagina inizio
  • 2209 (literal)
Pagina fine
  • 2222 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://iopscience.iop.org/0266-5611/22/6/018/ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 22 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 14 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-INFM, LAMIA, Via Dodecaneso 33, I-16146 Genova, Italy; Center for Transdisciplinary Research, Niigata University, Niigata, Japan; Dipartimento di Informatica, Università di Verona, Ca' Vignal 2, Strada Le Grazie 15, I-37134 Verona, Italy; Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, I-16146 Genova, Italy; Dipartimento di Informatica e Scienze dell'Informazione, Università di Genova, Via Dodecaneso 35, I-16146 Genova, Italy (literal)
Titolo
  • A linear model for chirp-pulse microwave computerized tomography: applicability conditions (literal)
Abstract
  • Chirp-pulse microwave computerized tomography (CP-MCT) represents an innovative medical imaging technique. One of the advantages of CP-MCT is that data reduction is based on the standard algorithm of x-ray tomography, namely filtered back-projection and therefore is very fast, even if not very accurate. For this reason we recently proposed a modification of this algorithm based on a linear model, hence on a computationally efficient approach. The method has been validated by means of real data obtained with the Niigata prototype of the CP-MCT scanner. However, the applicability of the underlying model has not yet been completely analysed. In this paper, we first investigate the assumptions leading to the linear model and then we show, by means of numerical simulations, that it can provide quantitative maps of the attenuation constant of the body in the low-contrast case. (literal)
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