Localization of vertebrae on DXA VFA images using constrained local models with random forest regression voting
نویسندگان
چکیده
منابع مشابه
Localisation of Vertebrae on DXA VFA Images using Constrained Local Models with Random Forest Regression Voting
Osteoporotic fractures are associated with significant morbidity, mortality and public health costs, and will increase with an ageing population. Many osteoporotic vertebral fractures (VF) present on images do not come to clinical attention or lead to fracture prevention treatment. Furthermore, DXA vertebral fracture assessments (VFA) are often reported subjectively by a radiologist or other cl...
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Fractures associated with osteoporosis are a significant public health risk, and one that is likely to increase with an ageing population. However, many osteoporotic vertebral fractures present on images do not come to clinical attention or lead to preventative treatment. Furthermore, vertebral fracture assessment (VFA) typically depends on subjective judgement by a radiologist. The potential u...
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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 regressors were trained to identify vertebral end-plates, providing estimates of both the location and pose of the vertebrae. The highest-weighted responses from each model were combined usi...
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ژورنال
عنوان ژورنال: Journal of Orthopaedic Translation
سال: 2014
ISSN: 2214-031X
DOI: 10.1016/j.jot.2014.07.053