Trends on identification of fractured bone tissue from CT images

F Paulano, J Jiménez, R Pulido - Computational Vision and …, 2013 - api.taylorfrancis.com
F Paulano, J Jiménez, R Pulido
Computational Vision and Medical Image Processing IV: VIPIMAGE 2013, 2013api.taylorfrancis.com
The identification of bone tissue from computed tomographies (CT images) is a key
procedure in medical visualization and simulation because it allows to adapt both processes
to the anatomy of a specific patient. On the other hand, the identification of fractured bone
adds some constraints and usually requires the participation of an expert. This is because it
is necessary not only to segment a bone fragment, but also to label it. These additional
constraints prevent the implementation of generalsegmentation methods. In this paper, the …
Abstract
The identification of bone tissue from computed tomographies (CT images) is a key procedure in medical visualization and simulation because it allows to adapt both processes to the anatomy of a specific patient. On the other hand, the identification of fractured bone adds some constraints and usually requires the participation of an expert. This is because it is necessary not only to segment a bone fragment, but also to label it. These additional constraints prevent the implementation of generalsegmentation methods. In this paper, the main issues to be considered when identifying both healthy and fractured bone are described. After that, currently proposed methods are discussed and classified. Finally, the aspects to be improved in the described methods are outlined and the work to do is identified.
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