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7. Inversion Recovery Magnetic Resonance Imaging

  • 2023
  • OriginalPaper
  • Chapter
Published in:
Authors
Jörg Polzehl
Karsten Tabelow
Published in
Magnetic Resonance Brain Imaging
Publisher
Springer International Publishing

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Abstract

The chapter explores the application of Inversion Recovery Magnetic Resonance Imaging (IR-MRI) to estimate tissue porosity by modeling the signal as a mixture of fluid and solid components. It details the process of generating simulated IR-MRI data based on a T1w image, followed by parameter estimation using a mixture model. The text highlights the challenges of parameter estimation and introduces structural adaptive smoothing to improve the accuracy of the estimated maps. The chapter concludes with a discussion on the practical implications of tissue porosity estimation in Magnetic Resonance Elastography (MRE).
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previous chapter Multiparameter Mapping
Title
Inversion Recovery Magnetic Resonance Imaging
Authors
Jörg Polzehl
Karsten Tabelow
Copyright Year
2023
Book
Magnetic Resonance Brain Imaging

Print ISBN: 978-3-031-38948-1

Electronic ISBN: 978-3-031-38949-8

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-38949-8_7
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