Zusammenfassung
A method for the automatic detection of osteolytic lesions caused by bone metastases is presented. Osteolytic means that bone mass is lost and these lesions are visible as holes in the bone structure. For the analysis of the process of metastases and their response to therapies the measurement of these lesions is neccessary. As manual segmentation of all lesions is too complex for a larger study, automatic tools are needed. The challenging task of measuring missing structures is solved here by comparison of a modified bone with a healthy model. The algorithm is tested on rat femur bones. First tests have shown that the presented algorithm can be used for the global identification of osteolytic regions.
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Bäuerle T, Adwan H, Kiessling F, et al. Characterization of a rat model with site-specific bone metastasis induced by MDA-MB-231 breast cancer cells and its application to the effects of an antibody against bone sialoprotein. Int J Cancer. 2005;115(2):177–86.
Malizos KN, Siafakas MS, Fotiadis DI, et al. An MRI-based semiautomated volumetric quantification of hip osteonecrosis. Skeletal Radiol. 2001;30(12):686–93.
Heimann T, Meinzer HP. Statistical shape models for 3D medical image segmentation: a review. Med Image Anal. 2009;13(4):543–63.
Fränzle A, Bendl R. Automatische Segmentierung und Klassifizierung von Knochenmarkhöhlen für die Positionierung von Formmodellen. Procs BVM. 2012; p. 280–5.
Maes F, Collignon A, V D, et al. Multimodality image registration by maximization of mutual information. IEEE Trans Med Imaging. 1997;16:187–98.
Janaszewski M, Couprie M, Babout L. Hole filling in 3D volumetric objects. Pattern Recognit. 2010;43:3548–59.
Sharf A, Alexa M, Cohen-Or D. Context-based surface completion. ACM Trans Graph. 2004;23(3):878–87.
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Fränzle, A., Bretschi, M., Bäuerle, T., Bendl, R. (2013). Automatic Detection of Osteolytic Lesions in Rat Femur With Bone Metastases. In: Meinzer, HP., Deserno, T., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2013. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36480-8_55
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DOI: https://doi.org/10.1007/978-3-642-36480-8_55
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