Abstract #1231

Quality control algorithm for resting-state BOLD based cerebrovascular reactivity mapping

Yutian Wang¹, Peiying Liu², Hanzhang Lu³, Dan Wu¹, and Zixuan Lin¹

¹Department of Biomedical Engineering, Zhejiang University, Hangzhou, China, ²Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD, United States, ³Department of Radiology, Johns Hopkins University, Baltimore, MD, United States

Synopsis

Keywords: Blood Vessels, Blood vessels, Cerebrovascular Reactivity, Resting-state BOLD, Quality Control

Motivation: Cerebrovascular reactivity (CVR) mapping derived from resting-state BOLD has potential for vascular research in large-scale clinical studies. However, it is prone to poor-quality due to the small fluctuation in CO₂ concentration during resting breathing, limiting its wide application.

Goal(s): To develop an automatic quality control algorithm for resting-state CVR.

Approach: Parameters reflecting common characteristics of poor-quality CVR were combined into one comprehensive quality evaluation index (QEI), which was further validated through leave-one-out method and reproducibility studies.

Results: The proposed QEI performed not only in good agreement with visual inspection, but can also adapt in resting-state CVR from multiple age groups and scanning protocols.

Impact: This work proposed an automatic, objective and quantitative method for quality control of resting-state CVR mapping.

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