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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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