Literature DB >> 24815367

Cortical shell unwrapping for vertebral body abnormality detection on computed tomography.

Jianhua Yao1, Joseph E Burns2, Hector Muñoz3, Ronald M Summers3.   

Abstract

The vertebral body is the main axial load-bearing structure of the spinal vertebra. Assessment of acute injury and chronic deformity of the vertebral body is difficult to assess accurately and quantitatively by simple visual inspection. We propose a cortical shell unwrapping method to examine the vertebral body for injury such as fractures and degenerative osteophytes. The spine is first segmented and partitioned into vertebrae. Then the cortical shell of the vertebral body is extracted using deformable dual-surface models. The cortical shell is then unwrapped onto a 2D map and the complex 3D detection problem is effectively converted to a pattern recognition problem on a 2D plane. Characteristic features adapted for different applications are computed and sent to a committee of support vector machines for classification. The system was evaluated on two applications, one for fracture detection on trauma CT datasets and the other on degenerative osteophyte assessment on sodium fluoride PET/CT. The fracture CAD achieved 93.6% sensitivity at 3.2 false positive per patient and the degenerative osteophyte CAD achieved 82% sensitivity at 4.7 false positive per patient. Published by Elsevier Ltd.

Entities:  

Keywords:  Computational spine imaging; Computer aided detection

Mesh:

Year:  2014        PMID: 24815367      PMCID: PMC4172654          DOI: 10.1016/j.compmedimag.2014.04.001

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  17 in total

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9.  Automated CT-based analysis to detect changes in the prevalence of lytic bone metastases from breast cancer.

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