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Fast myocardial T mapping in mice using k-space weighted image contrast and a Bloch simulation-optimized radial sampling pattern.
Gram, Maximilian; Gensler, Daniel; Winter, Patrick; Seethaler, Michael; Arias-Loza, Paula Anahi; Oberberger, Johannes; Jakob, Peter Michael; Nordbeck, Peter.
Afiliação
  • Gram M; Department of Internal Medicine I, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany.
  • Gensler D; Experimental Physics 5, University of Würzburg, Würzburg, Germany.
  • Winter P; Department of Internal Medicine I, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany.
  • Seethaler M; Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany.
  • Arias-Loza PA; Department of Internal Medicine I, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany.
  • Oberberger J; Experimental Physics 5, University of Würzburg, Würzburg, Germany.
  • Jakob PM; Experimental Physics 5, University of Würzburg, Würzburg, Germany.
  • Nordbeck P; Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany.
MAGMA ; 35(2): 325-340, 2022 Apr.
Article em En | MEDLINE | ID: mdl-34491466
ABSTRACT

PURPOSE:

T1ρ dispersion quantification can potentially be used as a cardiac magnetic resonance index for sensitive detection of myocardial fibrosis without the need of contrast agents. However, dispersion quantification is still a major challenge, because T1ρ mapping for different spin lock amplitudes is a very time consuming process. This study aims to develop a fast and accurate T1ρ mapping sequence, which paves the way to cardiac T1ρ dispersion quantification within the limited measurement time of an in vivo study in small animals.

METHODS:

A radial spin lock sequence was developed using a Bloch simulation-optimized sampling pattern and a view-sharing method for image reconstruction. For validation, phantom measurements with a conventional sampling pattern and a gold standard sequence were compared to examine T1ρ quantification accuracy. The in vivo validation of T1ρ mapping was performed in N = 10 mice and in a reproduction study in a single animal, in which ten maps were acquired in direct succession. Finally, the feasibility of myocardial dispersion quantification was tested in one animal.

RESULTS:

The Bloch simulation-based sampling shows considerably higher image quality as well as improved T1ρ quantification accuracy (+ 56%) and precision (+ 49%) compared to conventional sampling. Compared to the gold standard sequence, a mean deviation of - 0.46 ± 1.84% was observed. The in vivo measurements proved high reproducibility of myocardial T1ρ mapping. The mean T1ρ in the left ventricle was 39.5 ± 1.2 ms for different animals and the maximum deviation was 2.1% in the successive measurements. The myocardial T1ρ dispersion slope, which was measured for the first time in one animal, could be determined to be 4.76 ± 0.23 ms/kHz.

CONCLUSION:

This new and fast T1ρ quantification technique enables high-resolution myocardial T1ρ mapping and even dispersion quantification within the limited time of an in vivo study and could, therefore, be a reliable tool for improved tissue characterization.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Miocárdio Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Miocárdio Idioma: En Ano de publicação: 2022 Tipo de documento: Article