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KRATOCHVÍLA, J. JIŘÍK, R. BARTOŠ, M. STANDARA, M. STARČUK, Z. TAXT, T.
Original Title
Distributed capillary adiabatic tissue homogeneity model in parametric multi-channel blind AIF estimation using DCE-MRI
Type
journal article in Web of Science
Language
English
Original Abstract
Purpose One of the main challenges in quantitative dynamic contrast-enhanced (DCE) MRI is estimation of the arterial input function (AIF). Usually, the signal from a single artery (ignoring contrast dispersion, partial volume effects and flow artifacts) or a population average of such signals (also ignoring variability between patients) is used. Methods Multi-channel blind deconvolution is an alternative approach avoiding most of these problems. The AIF is estimated directly from the measured tracer concentration curves in several tissues. This contribution extends the published methods of multi-channel blind deconvolution by applying a more realistic model of the impulse residue function, the distributed capillary adiabatic tissue homogeneity model (DCATH). In addition, an alternative AIF model is used and several AIF-scaling methods are tested. Results The proposed method is evaluated on synthetic data with respect to the number of tissue regions and to the signal-to-noise ratio. Evaluation on clinical data (renal cell carcinoma patients before and after the beginning of the treatment) gave consistent results. An initial evaluation on clinical data indicates more reliable and less noise sensitive perfusion parameter estimates. Conclusion Blind multi-channel deconvolution using the DCATH model might be a method of choice for AIF estimation in a clinical setup. Magn Reson Med, 2015. © 2015 Wiley Periodicals, Inc.
Keywords
dynamic contrast-enhanced magnetic resonance imaging;multi-channel blind deconvolution;arterial input function;impulse residue function;renal cell carcinoma
Authors
KRATOCHVÍLA, J.; JIŘÍK, R.; BARTOŠ, M.; STANDARA, M.; STARČUK, Z.; TAXT, T.
RIV year
2015
Released
13. 4. 2015
Publisher
John Wiley & Sons, Inc.
ISBN
0740-3194
Periodical
MAGNETIC RESONANCE IN MEDICINE
Year of study
-
Number
State
United States of America
Pages from
1
Pages to
11
Pages count
URL
http://onlinelibrary.wiley.com/doi/10.1002/mrm.25619/epdf
BibTex
@article{BUT115759, author="Jiří {Kratochvíla} and Radovan {Jiřík} and Michal {Bartoš} and Michal {Standara} and Zenon {Starčuk} and Torfinn {Taxt}", title="Distributed capillary adiabatic tissue homogeneity model in parametric multi-channel blind AIF estimation using DCE-MRI", journal="MAGNETIC RESONANCE IN MEDICINE", year="2015", volume="-", number="-", pages="1--11", doi="10.1002/mrm.25619", issn="0740-3194", url="http://onlinelibrary.wiley.com/doi/10.1002/mrm.25619/epdf" }