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Abstract #4580

Assessment of repeatability and reproducibility of brain oxygen extraction fraction mapping through QQ-CCTV

Hangwei Zhuang1,2, Qihao Zhang2, Pascal Spincemaille2, Thanh Nyugen2, and Yi Wang1,2
1Cornell University, New York, NY, United States, 2Weill Medical College of Cornell University, New York, NY, United States

Synopsis

Keywords: Signal Modeling, Oxygenation

Motivation: QQ-CCTV has been validated under 3T to map brain oxygen extraction fraction. Yet its repeatability and reproducibility has not been evaluated under 1.5T.

Goal(s): Assess the repeatability and reproducibility of QQ-CCTV

Approach: QQ-CCTV was performed to calculate brain oxygen extraction from repeated scans under 3T and 1.5T. OEF values are compared between scans using linear regression and Bland-Altman plots.

Results: The OEF values obtained from 3T and 1.5T scans show minimal bias and good correlation. Although under 1.5T the sampled data have lower SNR, QQ-CCTV may benefit from lower characteristic frequency and longer characteristic time.

Impact: QQ-CCTV can be used with mGRE data acquired under 1.5T to map brain oxygen extraction with good repeatability and reproducibility and has the potential to be used clinically.

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Keywords