Change search
ReferencesLink to record
Permanent link

Direct link
Phase-based arterial input functions in humans applied to dynamic contrast-enhanced MRI: potential usefulness and limitations
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
SLU, Centre of Biostochastics.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
Show others and affiliations
2011 (English)In: Magnetic Resonance Materials in Physics, Biology and Medicine, ISSN 0968-5243, E-ISSN 1352-8661, Vol. 24, no 4, 233-245 p.Article in journal (Refereed) Published
Abstract [en]

Object: Phase-based arterial input functions (AIFs) provide a promising alternative to standard magnitude-based AIFs, for example, because inflow effects are avoided. The usefulness of phase-based AIFs in clinical dynamic contrast-enhanced MRI (DCE-MRI) was investigated, and relevant pitfalls and sources of uncertainty were identified.

Materials and methods: AIFs were registered from eight human subjects on, in total, 21 occasions. AIF quality was evaluated by comparing AIFs from right and left internal carotid arteries and by assessing the reliability of blood plasma volume estimates.

Results: Phase-based AIFs yielded an average bolus peak of 3.9 mM and a residual concentration of 0.37 mM after 3 min, (0.033 mmol/kg contrast agent injection). The average blood plasma volume was 2.7% when using the AIF peak in the estimation, but was significantly different (p < 0.0001) and less physiologically reasonable when based on the AIF tail concentration. Motion-induced phase shifts and accumulation of contrast agent in background tissue regions were identified as main sources of uncertainty.

Conclusions: Phase-based AIFs are a feasible alternative to magnitude AIFs, but sources of errors exist, making quantification difficult, especially of the AIF tail. Improvement of the technique is feasible and also required for the phase-based AIF approach to reach its full potential.

Place, publisher, year, edition, pages
Springer , 2011. Vol. 24, no 4, 233-245 p.
Keyword [en]
Dynamic contrast-enhanced MRI, Arterial input function, Phase quantification
National Category
Radiology, Nuclear Medicine and Medical Imaging
URN: urn:nbn:se:umu:diva-44372DOI: 10.1007/s10334-011-0257-8ISI: 000295178100005PubMedID: 21626278OAI: diva2:420436
Available from: 2011-06-01 Created: 2011-06-01 Last updated: 2015-11-16Bibliographically approved
In thesis
1. Contributions to quantitative dynamic contrast-enhanced MRI
Open this publication in new window or tab >>Contributions to quantitative dynamic contrast-enhanced MRI
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Background: Dynamic contrast-enhanced MRI (DCE-MRI) has the potential to produce images of physiological quantities such as blood flow, blood vessel volume fraction, and blood vessel permeability. Such information is highly valuable, e.g., in oncology. The focus of this work was to improve the quantitative aspects of DCE-MRI in terms of better understanding of error sources and their effect on estimated physiological quantities.

Methods: Firstly, a novel parameter estimation algorithm was developed to overcome a problem with sensitivity to the initial guess in parameter estimation with a specific pharmacokinetic model. Secondly, the accuracy of the arterial input function (AIF), i.e., the estimated arterial blood contrast agent concentration, was evaluated in a phantom environment for a standard magnitude-based AIF method commonly used in vivo. The accuracy was also evaluated in vivo for a phase-based method that has previously shown very promising results in phantoms and in animal studies. Finally, a method was developed for estimation of uncertainties in the estimated physiological quantities.

Results: The new parameter estimation algorithm enabled significantly faster parameter estimation, thus making it more feasible to obtain blood flow and permeability maps from a DCE-MRI study. The evaluation of the AIF measurements revealed that inflow effects and non-ideal radiofrequency spoiling seriously degrade magnitude-based AIFs and that proper slice placement and improved signal models can reduce this effect. It was also shown that phase-based AIFs can be a feasible alternative provided that the observed difficulties in quantifying low concentrations can be resolved. The uncertainty estimation method was able to accurately quantify how a variety of different errors propagate to uncertainty in the estimated physiological quantities.

Conclusion: This work contributes to a better understanding of parameter estimation and AIF quantification in DCE-MRI. The proposed uncertainty estimation method can be used to efficiently calculate uncertainties in the parametric maps obtained in DCE-MRI.

Place, publisher, year, edition, pages
Umeå: Umeå Universitet, 2011. 108 p.
Umeå University medical dissertations, ISSN 0346-6612 ; 1457
Dynamic contrast-enhanced MRI, quantitative imaging, parameter estimation, uncertainty estimation, arterial input function
National Category
Medical Image Processing
Research subject
urn:nbn:se:umu:diva-49773 (URN)978-91-7459-313-6 (ISBN)
Public defence
2011-12-10, Bergasalen, byggnad 27, Norrlands universitetssjukhus, Umeå, 10:00 (English)
Available from: 2011-11-18 Created: 2011-11-17 Last updated: 2011-11-22Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Garpebring, AndersYu, JunAsklund, ThomasKarlsson, Mikael
By organisation
Radiation PhysicsOncology
In the same journal
Magnetic Resonance Materials in Physics, Biology and Medicine
Radiology, Nuclear Medicine and Medical Imaging

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 97 hits
ReferencesLink to record
Permanent link

Direct link