Evaluation of CT capability for the detection of thin bone structures by means of modeling small bone structures and comparing with quantitative measurements. Knowledge of how thin bone structures can be or of what low density to be detectable in clinical CT images can increase the diagnostic competence to diagnose various diseases. Correlation between size and density of detectable bone structures is the key for many diagnosis purposes. This paper describes the use of clinical 64 detector scanner to image the skeletons of codfish and salmon species. Fish skeletons, such as codfish and salmon, have petite structures and lower bone density than humans. Bone structures were segmented out of the image data and 3D models of their skeletons developed. Evaluation was done by means of comparing quantitative measurements of selected bones to parameters observed from the model. Results show the limits where thin bones and of low density disappear from the clinical CT. It shows ability to reconstruct closely the diameter of the codfish bones but to a less extent the small bones of the salmon.
|Number of pages||5|
|Journal||Current Directions in Biomedical Engineering|
|Publication status||Published - 2015|
Bibliographical notePublisher Copyright:
© 2015 by Walter de Gruyter GmbH, Berlin/Boston 2015.
- Bone detection
- Computed tomography (CT)
- Graphical models and methods