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Changes of in vivo electrical conductivity in the brain and torso related to age, fat fraction and sex using MRI.
He, Zhongzheng; Soullié, Paul; Lefebvre, Pauline; Ambarki, Khalid; Felblinger, Jacques; Odille, Freddy.
Affiliation
  • He Z; IADI U1254, INSERM and Université de Lorraine, Nancy, France.
  • Soullié P; IADI U1254, INSERM and Université de Lorraine, Nancy, France. paul.soullie@univ-lorraine.fr.
  • Lefebvre P; IADI U1254, INSERM and Université de Lorraine, Nancy, France.
  • Ambarki K; Siemens Healthcare SAS, Saint Denis, France.
  • Felblinger J; IADI U1254, INSERM and Université de Lorraine, Nancy, France.
  • Odille F; CIC-IT 1433, INSERM, Université de Lorraine and CHRU Nancy, Nancy, France.
Sci Rep ; 14(1): 16109, 2024 Jul 12.
Article de En | MEDLINE | ID: mdl-38997324
ABSTRACT
This work was inspired by the observation that a majority of MR-electrical properties tomography studies are based on direct comparisons with ex vivo measurements carried out on post-mortem samples in the 90's. As a result, the in vivo conductivity values obtained from MRI in the megahertz range in different types of tissues (brain, liver, tumors, muscles, etc.) found in the literature may not correspond to their ex vivo equivalent, which still serves as a reference for electromagnetic modelling. This study aims to pave the way for improving current databases since the definition of personalized electromagnetic models (e.g. for Specific Absorption Rate estimation) would benefit from better estimation. Seventeen healthy volunteers underwent MRI of both brain and thorax/abdomen using a three-dimensional ultrashort echo-time (UTE) sequence. We estimated conductivity (S/m) in several classes of macroscopic tissue using a customized reconstruction method from complex UTE images, and give general statistics for each of these regions (mean-median-standard deviation). These values are used to find possible correlations with biological parameters such as age, sex, body mass index and/or fat volume fraction, using linear regression analysis. In short, the collected in vivo values show significant deviations from the ex vivo values in conventional databases, and we show significant relationships with the latter parameters in certain organs for the first time, e.g. a decrease in brain conductivity with age.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Encéphale / Imagerie par résonance magnétique / Conductivité électrique / Tronc Limites: Adult / Aged / Female / Humans / Male / Middle aged Langue: En Journal: Sci Rep Année: 2024 Type de document: Article Pays d'affiliation: France

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Encéphale / Imagerie par résonance magnétique / Conductivité électrique / Tronc Limites: Adult / Aged / Female / Humans / Male / Middle aged Langue: En Journal: Sci Rep Année: 2024 Type de document: Article Pays d'affiliation: France
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