Effect of surface-partial-volume correction and adaptive threshold on segmentation of uroliths in computed tomography.

ABSTRACT: Computed tomography (CT) is used to diagnose urolithiasis, a prevalent condition. In order to establish the strongest foundation for the quantifiability of urolithiasis, this study aims to develop semi-automated urolithiasis segmentation methods for CT images that differ in terms of surface-partial-volume correction and adaptive thresholding. It also examines the diagnostic accuracy of these methods in terms of volume and maximum stone diameter. One hundred and one uroliths were positioned in an anthropomorphic phantom and prospectively examined in CT. Four different segmentation methods were developed and used to segment the uroliths semi-automatically based on CT images. Volume and maximum diameter were calculated from the segmentations. Volume and maximum diameter of the uroliths were m

SUBMITTER: Neubauer J 

PROVIDER: S-EPMC10289361 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature