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Chapter and Conference Paper
Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance Modelling
Osteoporotic vertebral fractures (VFs) are under-diagnosed, creating an opportunity for computer-aided, opportunistic fracture identification in clinical images. VF diagnosis and grading in clinical practice i...
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Chapter and Conference Paper
Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting
We describe a method for automatic detection and localisation of vertebrae in clinical images that was designed to avoid making a priori assumptions of how many vertebrae are visible. Multiple random forest regre...
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Chapter and Conference Paper
Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting
We describe a system for fully automatic vertebra localisation and segmentation in 3D CT volumes containing arbitrary regions of the spine, with the aim of detecting osteoporotic fractures. To avoid the diffic...
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Chapter and Conference Paper
Segmentation of Lumbar Vertebrae Using Part-Based Graphs and Active Appearance Models
The aim of the work is to provide a fully automatic method of segmenting vertebrae in spinal radiographs. This is of clinical relevance to the diagnosis of osteoporosis by vertebral fracture assessment, and to...
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Chapter and Conference Paper
Automatic measurement of vertebral shape using Active Shape Models
In this paper, we describe how Active Shape Models (ASMs) have been used to accurately and robustly locate vertebrae in noisy lateral Dual Energy X-ray Absorptiometry (DXA) images of the spine. Vertebrae were ...