Mayo Clinic researchers have proposed a method of estimating kidney stone volume using CT images that offers significantly improved accuracy compared with threshold-based methods, according to a study published online July 23 in the Journal of Urology. “We proposed a volume estimation method based on an adaptive threshold segmentation method and a correction for the PSF (point spread function) model,” wrote Xinhui Duan, PhD, of Mayo Clinic in Rochester, Minn., and colleagues. Stone volume is often a major factor in choosing a clinical treatment, they noted.
HealthImaging by Evan Godt
Tags: CT images, HealthImaging, Journal of Urology, kidney stone, Mayo Clinic Rochester, Research, Urology, Xinhui Duan