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Free-breathing, fat-corrected T1 mapping of the liver with stack-of-stars MRI, and joint estimation of T1, PDFF, R 2 * , and B 1 + .
Muslu, Yavuz; Tamada, Daiki; Roberts, Nathan T; Cashen, Ty A; Mandava, Sagar; Kecskemeti, Steven R; Hernando, Diego; Reeder, Scott B.
Afiliação
  • Muslu Y; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
  • Tamada D; Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
  • Roberts NT; Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
  • Cashen TA; GE HealthCare, Waukesha, Wisconsin, USA.
  • Mandava S; GE HealthCare, Waukesha, Wisconsin, USA.
  • Kecskemeti SR; GE HealthCare, Waukesha, Wisconsin, USA.
  • Hernando D; Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.
  • Reeder SB; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Magn Reson Med ; 92(5): 1913-1932, 2024 Nov.
Article em En | MEDLINE | ID: mdl-38923009
ABSTRACT

PURPOSE:

Quantitative T1 mapping has the potential to replace biopsy for noninvasive diagnosis and quantitative staging of chronic liver disease. Conventional T1 mapping methods are confounded by fat and B 1 + $$ {B}_1^{+} $$ inhomogeneities, resulting in unreliable T1 estimations. Furthermore, these methods trade off spatial resolution and volumetric coverage for shorter acquisitions with only a few images obtained within a breath-hold. This work proposes a novel, volumetric (3D), free-breathing T1 mapping method to account for multiple confounding factors in a single acquisition. THEORY AND

METHODS:

Free-breathing, confounder-corrected T1 mapping was achieved through the combination of non-Cartesian imaging, magnetization preparation, chemical shift encoding, and a variable flip angle acquisition. A subspace-constrained, locally low-rank image reconstruction algorithm was employed for image reconstruction. The accuracy of the proposed method was evaluated through numerical simulations and phantom experiments with a T1/proton density fat fraction phantom at 3.0 T. Further, the feasibility of the proposed method was investigated through contrast-enhanced imaging in healthy volunteers, also at 3.0 T.

RESULTS:

The method showed excellent agreement with reference measurements in phantoms across a wide range of T1 values (200 to 1000 ms, slope = 0.998 (95% confidence interval (CI) [0.963 to 1.035]), intercept = 27.1 ms (95% CI [0.4 54.6]), r2 = 0.996), and a high level of repeatability. In vivo imaging studies demonstrated moderate agreement (slope = 1.099 (95% CI [1.067 to 1.132]), intercept = -96.3 ms (95% CI [-82.1 to -110.5]), r2 = 0.981) compared to saturation recovery-based T1 maps.

CONCLUSION:

The proposed method produces whole-liver, confounder-corrected T1 maps through simultaneous estimation of T1, proton density fat fraction, and B 1 + $$ {B}_1^{+} $$ in a single, free-breathing acquisition and has excellent agreement with reference measurements in phantoms.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Respiração / Algoritmos / Processamento de Imagem Assistida por Computador / Imageamento por Ressonância Magnética / Tecido Adiposo / Imagens de Fantasmas / Fígado Limite: Adult / Female / Humans / Male Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Respiração / Algoritmos / Processamento de Imagem Assistida por Computador / Imageamento por Ressonância Magnética / Tecido Adiposo / Imagens de Fantasmas / Fígado Limite: Adult / Female / Humans / Male Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos