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Phase-based arterial input functions in humans applied to dynamic contrast-enhanced MRI: potential usefulness and limitations

Garpebring, Anders; Wirestam, Ronnie LU ; Yu, Jun; Asklund, Thomas and Karlsson, Mikael (2011) In Magma 24(4). p.233-245
Abstract
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... (More)
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. Conclusion 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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Dynamic contrast-enhanced MRI, Arterial input function, Phase, quantification
in
Magma
volume
24
issue
4
pages
233 - 245
publisher
Springer
external identifiers
  • wos:000295178100005
  • scopus:80052467041
ISSN
1352-8661
DOI
10.1007/s10334-011-0257-8
language
English
LU publication?
yes
id
6eb3c73d-d13f-4b0b-8383-987065574616 (old id 2179850)
date added to LUP
2011-11-01 07:47:41
date last changed
2017-01-15 04:05:15
@article{6eb3c73d-d13f-4b0b-8383-987065574616,
  abstract     = {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 &lt; 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. Conclusion 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.},
  author       = {Garpebring, Anders and Wirestam, Ronnie and Yu, Jun and Asklund, Thomas and Karlsson, Mikael},
  issn         = {1352-8661},
  keyword      = {Dynamic contrast-enhanced MRI,Arterial input function,Phase,quantification},
  language     = {eng},
  number       = {4},
  pages        = {233--245},
  publisher    = {Springer},
  series       = {Magma},
  title        = {Phase-based arterial input functions in humans applied to dynamic contrast-enhanced MRI: potential usefulness and limitations},
  url          = {http://dx.doi.org/10.1007/s10334-011-0257-8},
  volume       = {24},
  year         = {2011},
}