Abstract #4327

A Local Linear Regression Algorithm for Partial Volume Correction in Brain Oxygen Extraction Fraction Estimation

Yasheng Chen¹, Chunwei Ying², Peter Kang¹, Slim Fellah¹, Amy Mirro³, Melanie Fields³, Kristin Guilliams¹, Jin-Moo Lee¹, Andria Ford¹, and Hongyu An⁴

¹Neurology, Washington University School of Medicine, St. Louis, MO, United States, ²Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States, ³Pediatrics Hematology, Washington University School of Medicine, St. Louis, MO, United States, ⁴Washington University School of Medicine, St. Louis, MO, United States

Measurement of oxygen extraction fraction (OEF) provides important information about tissue oxygen utilization. OEF maps can be obtained using a double echo asymmetric spin echo (ASE) sequence. Partial volume effect may lead to inaccurate OEF measurements in regions with mixed tissue types. We introduced a local linear regression algorithm to correct for partial volume effect. The PVC OEF method reduced model fitting errors and signal contamination of CSF, and it improved the association between OEF and WMH lesion burden.

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