Abstract
This paper presents the modelling and segmentation with correction of inhomogeneity in magnetic resonance imaging of shoulder. For that purpose a new heuristic is proposed using a morphological method and a pyramidal Gaussian decomposition (Discrete Gabor Transform). After the application of these filters, an automatic segmentation of a bone is possible despite of other semiautomatic methods present in the literature.
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Pérez, G., Montes Diez, R., Hernández, J.A., Martín, J.S. (2004). A New Approach to Automatic Segmentation of Bone in Medical Magnetic Resonance Imaging. In: Barreiro, J.M., Martín-Sánchez, F., Maojo, V., Sanz, F. (eds) Biological and Medical Data Analysis. ISBMDA 2004. Lecture Notes in Computer Science, vol 3337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30547-7_3
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DOI: https://doi.org/10.1007/978-3-540-30547-7_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23964-2
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