Computational Imaging in Orthopaedic Radiography
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Performing orthopaedic measurements is still a time-consuming task which is subject to intra and inter-observer variability. With quantitative imaging in terms of an automatic segmentation of the bones and joints and subsequent derivation of relevant measurements it is possible to remove this bottleneck from the clinical routine. The major difficulties resulting from the challenging image data are poor image quality resulting, a high degree of anatomical variability, and artificial object within the radiographs. This work presents a new method that addresses these challenges and automatically determines objective and reproducible measurements. The method has been evaluated on clinical data and compared against the readings of an experienced orthopaedist.
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