Evaluation of an AIF correction algorithm for dynamic susceptibility 
contrast-enhanced perfusion MRI

Brunecker, P.; Endres, M.; Nolte, C. H.; Schultze, J.; Wegener, S.; Jungehülsing, Gerhard J.; Müller, B.; Kerskens, C. M.; Fiebach, J. B.; Villringer, Arno; Steinbrink, J.

doi:10.1002/mrm.21612

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Evaluation of an AIF correction algorithm for dynamic susceptibility contrast-enhanced perfusion MRI

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Citation

Brunecker, P., Endres, M., Nolte, C. H., Schultze, J., Wegener, S., Jungehülsing, G. J., et al. (2008). Evaluation of an AIF correction algorithm for dynamic susceptibility contrast-enhanced perfusion MRI. Magnetic Resonance in Medicine, 60(1), 102-110. doi:10.1002/mrm.21612.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-B29D-F

Abstract

For longitudinal studies in patients suffering from cerebrovascular diseases the poor reproducibility of perfusion measurements via dynamic susceptibility-weighted contrast-enhanced MRI (DSC- MRI) is a relevant concern. We evaluate a novel algorithm capable of overcoming limitations in DSC-MRI caused by partial volume and saturation issues in the arterial input function (AIF) by a blood flow stimulation-study. In 21 subjects, perfusion parameters be- fore and after administration of blood flow stimulating L -arginine were calculated utilizing a block-circulant singular value decom- position (cSVD). A total of two different raters and three different rater conditions were employed to select AIFs: Besides 1) an AIF selection by an experienced rater, a beginner rater applied a steady state-oriented strategy, returning; 2) raw; and 3) corrected AIFs. Highly significant changes in regional cerebral blood flow (rCBF) by 9.0% ( P < 0.01) could only be found when the AIF correction was performed. To further test for improved reproduc- ibility, in a subgroup of seven subjects the baseline measurement was repeated 6 weeks after the first examination. In this group as well, using the correction algorithm decreased the SD of the dif- ference between the two baseline measurements by 42%.