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Abstract #3262

A generalizable trapezoid fitting approach for estimating pulmonary transit time from first-pass perfusion cardiac MRI

Mingyue Zhao1, Lexiaozi Fan1, Kyungpyo Hong1, Maria Davo Jimenez2, Li-Yueh Hsu3, Daniel C Lee2, and Daniel Kim1
1Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 2Division of Cardiology, Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 3Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States

Synopsis

Keywords: Data Processing, Analysis/Processing, Pulmonary transit time

Motivation: Pulmonary transit time (PTT) derived from first-pass perfusion cardiac MRI predicts major cardiovascular events. Traditional peak-to-peak PTT measurement is noise-sensitive, while the curve fitting approach to calculate centroid-to-centroid distance can be complex and unstable.

Goal(s): Develop a generalizable method that is robust to variations in signal modeling types, insensitive to the first-pass and recirculation peaks, and validate its performance against curve-fitting and peak-to-peak.

Approach: Fit a trapezoid with the bases defined at 0.85 and 0.5 relative to the first-pass bolus peak to avoid fitting to the first-pass and recirculation peaks.

Results: Trapezoid fitting method provides accurate PTT measurements and is insensitive to noise.

Impact: A trapezoid fitting method produces accurate PTT measurements derived from first-pass cardiac perfusion MRI. Our simple geometric approach is insensitive to noise and excludes both the first-pass and recirculation peaks during the fitting process.

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Keywords