An automated algorithm for the detection of cortical interruptions on high resolution peripheral quantitative computed tomography images of finger joints.

ABSTRACT:

Objectives

To introduce a fully-automated algorithm for the detection of small cortical interruptions (≥0.246mm in diameter) on high resolution peripheral quantitative computed tomography (HR-pQCT) images, and to investigate the additional value of manual correction of the automatically obtained contours (semi-automated procedure).

Methods

Ten metacarpophalangeal joints from seven patients with rheumatoid arthritis (RA) and three healthy controls were imaged with HR-pQCT. The images were evaluated by an algorithm according to the fully- and semi-automated procedure for the number and surface of interruptions per joint. Reliability between the fully- and semi-automated procedure and between two independent operators was tested using intra-class correlation coefficient (ICC) a

SUBMITTER: Peters M 

PROVIDER: S-EPMC5402632 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature