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Magnetic Resonance Materials in Physics, Biology and Medicine

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24.07.2018 | Research Article

Estimation of pancreatic R2* for iron overload assessment in the presence of fat: a comparison of different approaches

verfasst von: Maria Filomena Santarelli, Antonella Meloni, Daniele De Marchi, Laura Pistoia, Antonella Quarta, Anna Spasiano, Luigi Landini, Alessia Pepe, Vincenzo Positano

Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine | Ausgabe 6/2018

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Abstract

Objectives

To propose a method for estimating pancreatic relaxation rate, R2*, from conventional multi-echo MRI, based on the nonlinear fitting of the acquired magnitude signal decay to MR signal models that take into account both the signal oscillations induced by fat and the different R2* values of pancreatic parenchyma and fat.

Materials and methods

Single-peak fat (SPF) and multi-peak fat (MPF) models were introduced. Single-R2* and dual-R2* assumptions were considered as well. Analyses were conducted on simulated data and 20 thalassemia major patients.

Results

Simulations revealed the ability of the MPF model to correctly estimate the R2* value in a large range of fat fractions and R2* values. From the comparison between the results obtained with a single R2* value for water and fat and the dual-R2* approach, the latter is more accurate in both water R2* and fat fraction estimation. In patient’s data analysis, a strong concordance was found between SPF and MPF estimated data with measurements done with manual signal correction and from fat-saturated images. The MPF method showed better reproducibility.

Conclusion

The MPF dual-R2* approach improves reproducibility and reduces image analysis time in the assessment of pancreatic R2* value in patients with iron overload.

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Titel: Estimation of pancreatic R2* for iron overload assessment in the presence of fat: a comparison of different approaches
verfasst von: Maria Filomena Santarelli
Antonella Meloni
Daniele De Marchi
Laura Pistoia
Antonella Quarta
Anna Spasiano
Luigi Landini
Alessia Pepe
Vincenzo Positano
Publikationsdatum: 24.07.2018
Verlag: Springer International Publishing
Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine / Ausgabe 6/2018
Print ISSN: 0968-5243
Elektronische ISSN: 1352-8661
DOI: https://doi.org/10.1007/s10334-018-0695-7

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Estimation of pancreatic R2* for iron overload assessment in the presence of fat: a comparison of different approaches

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