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MR electrical properties imaging using a generalized image-based method.
Soullié, Paul; Missoffe, Alexia; Ambarki, Khalid; Felblinger, Jacques; Odille, Freddy.
Afiliação
  • Soullié P; IADI, INSERM U1254, Université de Lorraine, Nancy, France.
  • Missoffe A; IADI, INSERM U1254, Université de Lorraine, Nancy, France.
  • Ambarki K; Siemens Healthcare, Erlangen, Germany.
  • Felblinger J; IADI, INSERM U1254, Université de Lorraine, Nancy, France.
  • Odille F; CIC-IT 1433, INSERM, Université de Lorraine and CHRU de Nancy, Nancy, France.
Magn Reson Med ; 85(2): 762-776, 2021 02.
Article em En | MEDLINE | ID: mdl-32783236
ABSTRACT

PURPOSE:

To develop a fast and easy-to-use electrical properties tomography (EPT) method based on a single MR scan, avoiding both the need of a B1 -map and transceive phase assumption, and that is robust against noise. THEORY Derived from Maxwell's equations, conductivity, and permittivity are reconstructed from a new partial differential equation involving the product of the RF fields and its derivatives. This also allows us to clarify and revisit the relevance of common assumptions of MREPT.

METHODS:

Our new governing equation is solved using a 3D finite-difference scheme and compared to previous frameworks. The benefits of our method over selected existing MREPT methods are demonstrated for different simulation models, as well as for both an inhomogeneous agar phantom gel and in vivo brain data at 3T.

RESULTS:

Simulation and experimental results are illustrated to highlight the merits of the proposed method over existing methods. We show the validity of our algorithm in versatile configurations, with many transition regions notably. Complex admittivity maps are also provided as a complementary MR contrast.

CONCLUSION:

Because it avoids time-consuming RF field mapping and generalizes the use of standard MR image for electrical properties reconstruction, this contribution is promising as a new step forward for clinical applications.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Tomografia Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Tomografia Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article País de afiliação: França