Abstract #5023

Reducing T2-related bias in mq-BOLD derived maps of Oxygen Extraction Fraction by 3D acquisition

Stephan Kaczmarz^1,2, Jens Goettler^1,2, Andreas Hock³, Dimitrios Karampinos⁴, Claus Zimmer¹, Fahmeed Hyder^2,5, and Christine Preibisch^1,6

¹Department of Neuroradiology, Technical University of Munich, Munich, Germany, ²Department of Radiology & Biomedical Imaging, Yale University, New Haven, CT, United States, ³Philips Healthcare, Hamburg, Germany, ⁴Departement of Radiology, Technical University of Munich, Munich, Germany, ⁵School of Engineering & Applied Science, Yale University, New Haven, CT, United States, ⁶Clinic for Neurology, Technical University of Munich, Munich, Germany

Multi-parametric quantitative BOLD (mq-BOLD) measurements have been successfully applied in several studies to assess the vascular oxygenation, however, calculated relative Oxygen Extraction Fraction (rOEF) shows unphysiological systematic elevations. We suspect biased T₂-measurements to be the main source of error. Therefore, we present an optimized 3D-GraSE T₂-mapping sequence and its evaluation in four stages within phantoms, young healthy controls, elderly controls and internal carotid artery stenosis (ICAS) patients. We found significant T₂-decreases, fully consistent with reference-values, and thereby significantly decreased rOEF-values by ~25 % towards physiologically more realistic values. Additional clinical value was demonstrated by detecting focal rOEF-increases in an ICAS-patient.

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