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01-12-2020 | Magnetic Resonance Imaging | Original Article

Diffusion processes modeling in magnetic resonance imaging

Authors: Sergey Morozov, Kristina Sergunova, Alexey Petraikin, Ekaterina Akhmad, Stanislav Kivasev, Dmitry Semenov, Ivan Blokhin, Igor Karpov, Anton Vladzymyrskyy, Alexander Morozov

Published in: Insights into Imaging | Issue 1/2020

Abstract

Background

The paper covers modern approaches to the evaluation of neoplastic processes with diffusion-weighted imaging (DWI) and proposes a physical model for monitoring the primary quantitative parameters of DWI and quality assurance. Models of hindered and restricted diffusion are studied.

Material and method

To simulate hindered diffusion, we used aqueous solutions of polyvinylpyrrolidone with concentrations of 0 to 70%. We created siloxane-based water-in-oil emulsions that simulate restricted diffusion in the intracellular space. To obtain a high signal on DWI in the broadest range of b values, we used silicon oil with high T₂: cyclomethicone and caprylyl methicone. For quantitative assessment of our phantom, we performed DWI on 1.5T magnetic resonance scanner with various fat suppression techniques. We assessed water-in-oil emulsion as an extracorporeal source signal by simultaneously scanning a patient in whole-body DWI sequence.

Results

We developed phantom with control substances for apparent diffusion coefficient (ADC) measurements ranging from normal tissue to benign and malignant lesions: from 2.29 to 0.28 mm²/s. The ADC values of polymer solutions are well relevant to the mono-exponential equation with the mean relative difference of 0.91%.

Conclusion

The phantom can be used to assess the accuracy of the ADC measurements, as well as the effectiveness of fat suppression. The control substances (emulsions) can be used as a body marker for quality assurance in whole-body DWI with a wide range of b values.

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Title: Diffusion processes modeling in magnetic resonance imaging
Authors: Sergey Morozov
Kristina Sergunova
Alexey Petraikin
Ekaterina Akhmad
Stanislav Kivasev
Dmitry Semenov
Ivan Blokhin
Igor Karpov
Anton Vladzymyrskyy
Alexander Morozov
Publication date: 01-12-2020
Publisher: Springer Berlin Heidelberg
Keywords: Magnetic Resonance Imaging
Magnetic Resonance Imaging
Published in: Insights into Imaging / Issue 1/2020
Electronic ISSN: 1869-4101
DOI: https://doi.org/10.1186/s13244-020-00863-w

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Springer Medicine

Diffusion processes modeling in magnetic resonance imaging

Abstract

Background

Material and method

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Material and method

Results

Conclusion

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