Low-pass Fourier filtering of MR imaging-derived wall thickness curves decreased differences between neighboring segments for peak rate of wall thinning (P=0.012) and time to peak rate (P=0.005).
Low-pass Fourier filtering of MR imaging-derived wall thickness curves reduces measurement error and improves the representation of myocardial wall motion.
p-value: p=0.012
Wall thickness curves (WTCs) derived from MR images are subject to considerable measurement error. This study determines the effects of low-pass Fourier filtering of WTCs on functional parameters derived from the curve: peak rate of wall thinning (PRWT) and time to PRWT (TPRWT). The inter-subject standard deviation (SD) of PRWT changed from 0.35 to 0.18, and the SD of TPRWT from 34.3 to 29.5. Differences between neighboring segments decreased from 0.31 to 0.15% mean thickness/ms for PRWT (P = 0.012), and from 35.0 to 19.0 ms for TPRWT (P = 0.005). It is concluded that filtering of MR imaging-derived WTCs contributes to a better representation of myocardial wall motion.
Lamb et al. (1995) studied Cardiac function imaging. Low-pass Fourier filtering of wall thickness curves vs. Unfiltered wall thickness curves was evaluated on Differences between neighboring segments for peak rate of wall thinning (PRWT) and time to PRWT (TPRWT) (p=0.012). Low-pass Fourier filtering of MR imaging-derived wall thickness curves decreased differences between neighboring segments for peak rate of wall thinning (P=0.012) and time to peak rate (P=0.005).