English

Osteoporotic and Neoplastic Compression Fracture Classification on Longitudinal CT

Computer Vision and Pattern Recognition 2016-11-15 v1 Tissues and Organs

Abstract

Classification of vertebral compression fractures (VCF) having osteoporotic or neoplastic origin is fundamental to the planning of treatment. We developed a fracture classification system by acquiring quantitative morphologic and bone density determinants of fracture progression through the use of automated measurements from longitudinal studies. A total of 250 CT studies were acquired for the task, each having previously identified VCFs with osteoporosis or neoplasm. Thirty-six features or each identified VCF were computed and classified using a committee of support vector machines. Ten-fold cross validation on 695 identified fractured vertebrae showed classification accuracies of 0.812, 0.665, and 0.820 for the measured, longitudinal, and combined feature sets respectively.

Keywords

Cite

@article{arxiv.1601.07533,
  title  = {Osteoporotic and Neoplastic Compression Fracture Classification on Longitudinal CT},
  author = {Yinong Wang and Jianhua Yao and Joseph E. Burns and Ronald M. Summers},
  journal= {arXiv preprint arXiv:1601.07533},
  year   = {2016}
}

Comments

Contributed 4-Page Paper to be presented at the 2016 IEEE International Symposium on Biomedical Imaging (ISBI), April 13-16, 2016, Prague, Czech Republic

R2 v1 2026-06-22T12:38:05.694Z