Azimbagirad, M;
Dardenne, G;
Ben Salem, D;
Stindel, E;
Rémy-Néris, O;
Burdin, V;
(2022)
A semi-automatic tool for thigh muscle
segmentation.
In:
Proceedings of the the 21st Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS).
(pp. pp. 1-4).
CAOS
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Abstract
In order to follow up volume changes of thigh muscles in either disorders or muscle therapy treatments, several segmentation methods have been introduced. Since the accuracy of such methods is crucial to assess muscle reconstruction, we introduced a semi-automatic tool to segment thigh muscles with the required accuracy. The tool segments each muscle in three steps. First, a few slices are annotated for each muscle. Then, all of these annotated contours are automatically connected using spline interpolation in both transversal and longitudinal directions. Finally, using morphological and image processing techniques, each 3D muscle is reconstructed in order to further analyze their volumes. The accuracy and executing time of this method are compatible with the clinical requirements.
| Type: | Proceedings paper |
|---|---|
| Title: | A semi-automatic tool for thigh muscle segmentation |
| Event: | 21st Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS) |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://caos-international.org/caos-2022-brest-fra... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10177551 |
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