Improving the arterial input function in dynamic contrast enhanced MRI by fitting the signal in the complex plane

F.F.J. Simonis; A. Sbrizzi; E. Beld; J.J.W. Lagendijk; C.A.T. van den Berg

doi:10.1002/mrm.26023

Improving the arterial input function in dynamic contrast enhanced MRI by fitting the signal in the complex plane

F.F.J. Simonis^*, A. Sbrizzi, E. Beld, J.J.W. Lagendijk, C.A.T. van den Berg

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

13 Citations (Scopus)

Abstract

Purpose

Dynamic contrast enhanced (DCE) imaging is a widely used technique in oncologic imaging. An essential prerequisite for obtaining quantitative values from DCE-MRI is the determination of the arterial input function (AIF). However, it is very challenging to accurately estimate the AIF using MR. A comprehensive model, which uses complex data instead of either magnitude or phase, was developed to improve AIF estimation.

Theory and Methods

The model was first applied to simulated data. Subsequently, the accuracy of the estimated contrast agent concentration was validated in a phantom. Finally the method was applied to existing DCE scans of 13 prostate cancer patients.

Results

The complex signal method combines the complementary strengths of the magnitude and phase method, increasing the precision and accuracy of concentration estimation in simulated and phantom data. The in vivo AIFs show a good agreement between arterial voxels (standard deviation in the peak and tail equal 0.4 mM and 0.12 mM, respectively). Furthermore, the dynamic behavior closely followed the AIF obtained with DCE-CT in the same patients (mean correlation coefficient: 0.92).

Conclusion

By using the complex signal, the AIF estimation becomes more accurate and precise. This might enable patient specific AIFs, thereby improving the quantitative values obtained from DCE-MRI. Magn Reson Med 76:1236–1245, 2016. © 2015 Wiley Periodicals, Inc.

Original language	English
Pages (from-to)	1236-1245
Journal	Magnetic resonance in medicine
Volume	76
Issue number	4
DOIs	https://doi.org/10.1002/mrm.26023
Publication status	Published - 2016
Externally published	Yes

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10.1002/mrm.26023

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@article{14a87728a1ff45a89187bfed132e1307,

title = "Improving the arterial input function in dynamic contrast enhanced MRI by fitting the signal in the complex plane",

abstract = "PurposeDynamic contrast enhanced (DCE) imaging is a widely used technique in oncologic imaging. An essential prerequisite for obtaining quantitative values from DCE-MRI is the determination of the arterial input function (AIF). However, it is very challenging to accurately estimate the AIF using MR. A comprehensive model, which uses complex data instead of either magnitude or phase, was developed to improve AIF estimation.Theory and MethodsThe model was first applied to simulated data. Subsequently, the accuracy of the estimated contrast agent concentration was validated in a phantom. Finally the method was applied to existing DCE scans of 13 prostate cancer patients.ResultsThe complex signal method combines the complementary strengths of the magnitude and phase method, increasing the precision and accuracy of concentration estimation in simulated and phantom data. The in vivo AIFs show a good agreement between arterial voxels (standard deviation in the peak and tail equal 0.4 mM and 0.12 mM, respectively). Furthermore, the dynamic behavior closely followed the AIF obtained with DCE-CT in the same patients (mean correlation coefficient: 0.92).ConclusionBy using the complex signal, the AIF estimation becomes more accurate and precise. This might enable patient specific AIFs, thereby improving the quantitative values obtained from DCE-MRI. Magn Reson Med 76:1236–1245, 2016. {\textcopyright} 2015 Wiley Periodicals, Inc.",

author = "F.F.J. Simonis and A. Sbrizzi and E. Beld and J.J.W. Lagendijk and {van den Berg}, C.A.T.",

year = "2016",

doi = "10.1002/mrm.26023",

language = "English",

volume = "76",

pages = "1236--1245",

journal = "Magnetic resonance in medicine",

issn = "0740-3194",

publisher = "Wiley",

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T1 - Improving the arterial input function in dynamic contrast enhanced MRI by fitting the signal in the complex plane

AU - Simonis, F.F.J.

AU - Sbrizzi, A.

AU - Beld, E.

AU - Lagendijk, J.J.W.

AU - van den Berg, C.A.T.

PY - 2016

Y1 - 2016

N2 - PurposeDynamic contrast enhanced (DCE) imaging is a widely used technique in oncologic imaging. An essential prerequisite for obtaining quantitative values from DCE-MRI is the determination of the arterial input function (AIF). However, it is very challenging to accurately estimate the AIF using MR. A comprehensive model, which uses complex data instead of either magnitude or phase, was developed to improve AIF estimation.Theory and MethodsThe model was first applied to simulated data. Subsequently, the accuracy of the estimated contrast agent concentration was validated in a phantom. Finally the method was applied to existing DCE scans of 13 prostate cancer patients.ResultsThe complex signal method combines the complementary strengths of the magnitude and phase method, increasing the precision and accuracy of concentration estimation in simulated and phantom data. The in vivo AIFs show a good agreement between arterial voxels (standard deviation in the peak and tail equal 0.4 mM and 0.12 mM, respectively). Furthermore, the dynamic behavior closely followed the AIF obtained with DCE-CT in the same patients (mean correlation coefficient: 0.92).ConclusionBy using the complex signal, the AIF estimation becomes more accurate and precise. This might enable patient specific AIFs, thereby improving the quantitative values obtained from DCE-MRI. Magn Reson Med 76:1236–1245, 2016. © 2015 Wiley Periodicals, Inc.

AB - PurposeDynamic contrast enhanced (DCE) imaging is a widely used technique in oncologic imaging. An essential prerequisite for obtaining quantitative values from DCE-MRI is the determination of the arterial input function (AIF). However, it is very challenging to accurately estimate the AIF using MR. A comprehensive model, which uses complex data instead of either magnitude or phase, was developed to improve AIF estimation.Theory and MethodsThe model was first applied to simulated data. Subsequently, the accuracy of the estimated contrast agent concentration was validated in a phantom. Finally the method was applied to existing DCE scans of 13 prostate cancer patients.ResultsThe complex signal method combines the complementary strengths of the magnitude and phase method, increasing the precision and accuracy of concentration estimation in simulated and phantom data. The in vivo AIFs show a good agreement between arterial voxels (standard deviation in the peak and tail equal 0.4 mM and 0.12 mM, respectively). Furthermore, the dynamic behavior closely followed the AIF obtained with DCE-CT in the same patients (mean correlation coefficient: 0.92).ConclusionBy using the complex signal, the AIF estimation becomes more accurate and precise. This might enable patient specific AIFs, thereby improving the quantitative values obtained from DCE-MRI. Magn Reson Med 76:1236–1245, 2016. © 2015 Wiley Periodicals, Inc.

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DO - 10.1002/mrm.26023

M3 - Article

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JO - Magnetic resonance in medicine

JF - Magnetic resonance in medicine

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Improving the arterial input function in dynamic contrast enhanced MRI by fitting the signal in the complex plane

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