Temperature-corrected proton density fat fraction estimation using chemical shift-encoded MRI in phantoms

RSNA Quantitative Imaging Biomarker Alliance - Proton Density Fat Fraction Biomarker Committee

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

PURPOSE: Chemical shift-encoded MRI (CSE-MRI) is well-established to quantify proton density fat fraction (PDFF) as a quantitative biomarker of hepatic steatosis. However, temperature is known to bias PDFF estimation in phantom studies. In this study, strategies were developed and evaluated to correct for the effects of temperature on PDFF estimation through simulations, temperature-controlled experiments, and a multi-center, multi-vendor phantom study. THEORY AND METHODS: A technical solution that assumes and automatically estimates a uniform, global temperature throughout the phantom is proposed. Computer simulations modeled the effect of temperature on PDFF estimation using magnitude-, complex-, and hybrid-based CSE-MRI methods. Phantom experiments were performed to assess the temperature correction on PDFF estimation at controlled phantom temperatures. To assess the temperature correction method on a larger scale, the proposed method was applied to data acquired as part of a nine-site multi-vendor phantom study and compared to temperature-corrected PDFF estimation using an a priori guess for ambient room temperature. RESULTS: Simulations and temperature-controlled experiments show that as temperature deviates further from the assumed temperature, PDFF bias increases. Using the proposed correction method and a reasonable a priori guess for ambient temperature, PDFF bias and variability were reduced using magnitude-based CSE-MRI, across MRI systems, field strengths, protocols, and varying phantom temperature. Complex and hybrid methods showed little PDFF bias and variability both before and after correction. CONCLUSION: Correction for temperature reduces temperature-related PDFF bias and variability in phantoms across MRI vendors, sites, field strengths, and protocols for magnitude-based CSE-MRI, even without a priori information about the temperature.

Original languageEnglish (US)
Pages (from-to)69-81
Number of pages13
JournalMagnetic resonance in medicine
Volume86
Issue number1
DOIs
StatePublished - Jul 1 2021

Keywords

  • chemical shift-encoded MRI
  • fat quantification
  • phantom
  • proton density fat fraction
  • quantitative imaging biomarker
  • temperature correction

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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