Opportunistic osteoporosis screening in multi-detector CT images via local classification of textures.

ABSTRACT: Our study proposed an automatic pipeline for opportunistic osteoporosis screening using 3D texture features and regional vBMD using multi-detector CT images. A combination of different local and global texture features outperformed the global vBMD and showed high discriminative power to identify patients with vertebral fractures.

Introduction

Many patients at risk for osteoporosis undergo computed tomography (CT) scans, usable for opportunistic (non-dedicated) screening. We compared the performance of global volumetric bone mineral density (vBMD) with a random forest classifier based on regional vBMD and 3D texture features to separate patients with and without osteoporotic fractures.

Methods

In total, 154 patients (mean age 64 ± 8.5, male; n = 103) were included in this retr

SUBMITTER: Valentinitsch A 

PROVIDER: S-EPMC6546649 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature