Abstract
In this paper an automated method for volume contouring in PET images is presented. It is a slice-by-slice approach based on marker-controlled watershed segmentation applied to gradient image. A preprocessing step, based on geodesic transformations, is proposed to get a well defined boundary gradient of the region to be segmented (the tumour in our case), since the watershed results are improved. Moreover, a scheme of marker selection is proposed taking into account a priori segmentation knowledge from previous segmented slices. The method has been validated along with other 32 methods in a wide study [1] using phantom and real data. Regarding its degree of interactivity, our method obtained the highest accuracy results in patient’s data (A* = 0.694) and similar results (A* = 0.670) in the case of phantom’s data.
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© 2014 Springer International Publishing Switzerland
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Naranjo, V., López-Mir, F., Marín, C., Morales, S., Fuertes, J.J., Villanueva, E. (2014). Marker-Controlled Watershed for Volume Countouring in PET Images. In: Roa Romero, L. (eds) XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. IFMBE Proceedings, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-319-00846-2_70
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DOI: https://doi.org/10.1007/978-3-319-00846-2_70
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00845-5
Online ISBN: 978-3-319-00846-2
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