Using of statistical shape models for pelvis reconstruction in the oncologic surgery

• Autorzy: Skadłubowicz P. , Król Z. , Wróbel Z. , Hefti F. , Krieg A.
• Języki publikacji: EN

Abstrakty

EN

The reconstruction of the osseous structures in the pelvic region after bone tumour resection is highly complex and challenging. Up to now the reconstruction of the pelvis defects by autologous or allogenous grafts (for instance the fibula transplants) are highly unsatisfied because of large shape differences. Therefore there is a huge demand for patient-specific and anatomically shaped implants. Our pelvis reconstruction planning approach is based on the statistical shape model. For generation of the statistical pelvis shape model a large data pool of CT datasets has been collected. The following CT data segmentation and surface processing methods delivered the required pelvis geometries. Via Procrustes analysis of the collected pelvis surfaces the parameterized pelvis shape mean model has been calculated and the principal component analysis (PCA) [3] applied for estimating the anatomically optimal graft or implant geometry. We will demonstrate on the clinical pelvis reconstruction case that the using of statistical shape models in the oncologic surgery planning is robust and very promising method.

Słowa kluczowe

EN

computer-aided surgery planning; segmentation; pelvic reconstruction; statistical shape model; pelvic tumours; pelvic osteotomy

PL

planowanie chirurgii wspomagane komputerowo; segmentacja; rekonstrukcja miednicy; statystyczne modele kształtu; nowotwory miednicy; osteotomia miednicy

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2009
• Tom: Vol. 13
• Strony: 151--156
• Opis fizyczny: Bibliogr. 9 poz. rys.

Twórcy

autor

Skadłubowicz P.

• Institute of Computer Science, Department of Biomedical Computer Systems, Faculty of Computer Science and Materials Science, University of Silesia, Sosnowiec, Poland

autor

Król Z.

autor

Wróbel Z.

autor

Hefti F.

autor

Krieg A.

Bibliografia

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• [3] JOLLIFFE I.T., Principal Component Analysis, Springer, New York, 2002.
• [4] LAMECKER H., KAMER L., WITTMERS A., ZACHOW S. KAUP T., SCHRAMM A., NOSER H., HAMMER B., A method for the three-dimensional statistical shape analysis at the bone orbit, Proc. Computer Aided Surgery around the Head (CAS-H) (W. Freysinger et al., eds.), Pro Business Verlag, pp. 94-97, 2007.
• [5] LAMECKER H., ZACHOW S., HABERI H., STILLER M., Medical Applications for Statistical 3D Shape Models, Computer Aided Surgery around the Head, Volume 17, 2005.
• [6] SKADŁUBOWICZ P., Statystyczne modele kształtu do rekonstrukcji struktur kostnych w chirurgii twarzowo-szczękowej i ortopedycznej (In Polish), Diploma thesis, University of Silesia, 2008.
• [7] SKOGLUND K., Three-dimensional face modeling & analysis, IMM-THESIS-2003-43, Department of Informatics and Mathematical Modelling (IMM), Technical University of Denmark, 2003.
• [8] ZACHOW S., HECHT H.G., CROFT B.Y., OTSU N., Reconstruction of mandibular dysplasia using a statistical shape model, Computer Assisted Radiology and Surgery, International Congress Series, Volume 1281, 2005.
• [9] LORENSEN W.E., CLINE H.E., Marching Cubes: A high resolution 3D surface construction algorithm, Computer Graphics, Vol. 21, Nr. 4, pp. 163-169, New York, 1987.