Registration approaches for the optimisation of medical diagnostics and treatment

• Autorzy: Chlebiej M. , Król Z. , Mikołajczak P.
• Języki publikacji: EN

Abstrakty

EN

Many medical diagnostics and treatment procedures in the oncology, cranio-maxillofacial surgery, radiotherapy and neurosurgery deal with volumetric as well as surface data. Tumor detection or generation of the virtual treatment scene involves using complementary data sets that are obtained from different sensors, for example MR and CT data, or by the same sensor at different epochs. The very need for registration arises from the fact that the complementary data sets are acquired by imaging devices using different spatial coordinate systems or/and the anatomically correct superposition of two data instances cannot be performed without locally applied elastic transformation. The volume or surface matching is therefore an essential task in these applications. From the mathematical point of view the data aligning problem is an optimization task, which can be solved by using deterministic or non-deterministic optimization algorithms. Depending on the data size and the complexity of required matching transformation the runtime behaviour of the registration methods can stretch out between real-time and many hours' computations. In this paper various applications of the same registration paradigm are presented and discussed. The wide spectrum of the medical applications shows the importance of the registration approach for the optimization of medical diagnostics and treatment.

Słowa kluczowe

EN

registration; surgery planning; graft design; computer-aided diagnostics; elastic registration; laser scanner; surface data quality improvement

PL

rejestracja; planowanie operacji; diagnostyka wspomagana komputerowo; elastyczna rejestracja; skaner laserowy

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2005
• Tom: Vol. 9
• Strony: 57--64
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Chlebiej M.

• Laboratory of Information Technology, Maria Curie-Sklodowska University, Faculty of Mathematics, Physics and Informatics, pl. Marii-Curie Sklodowskiej 1, 20-030 Lublin, Poland

autor

Król Z.

• Hightech-Research-Center for Maxillofaci al Surgery, University Hospital Basel, Schanzenstrasse 46, CH-4031 Basel

autor

Mikołajczak P.

• Hightech-Research-Center for Maxillofaci al Surgery, University Hospital Basel, Schanzenstrasse 46, CH-4031 Basel

Bibliografia

• [1] KROL Z. et al., Computer Assisted Selection of Donor Sites for Autologous Grafts, Proceedings of SPIE Medical Imaging, Vol. 3031, pp. 196-202, 1997.
• [2] CHLEBIEJ M., Computer-aided osteotomy design in craniofacial surgery, Maria Curie-Sklodowska University, Lublin, MS thesis, 2002.
• [3] MARQUARDT D.W.: An Algorithm for Least-Squares Estimation of Nonlinear Parameters, Journal of the Society of Industrial and Applied Mathematics, Vol. 11, pp. 431-331, 1963.
• [3] PRESS W.H., FLANNERY B.P., TEUKOLSKY S.A., VETTERLING W.T., Numerical Recipes in C, Cambridge University Press, second edition, 1992.
• [4] SEDERBERG T., PARRY S., Free form deformation of solid geometric models, Computer Graphics, vol. 20, no. 4, pp. 151-160, 1986.
• [5] RUECKERT D., SONODA L. I., HAYES C., HILL D. L. G., LEACH M.O., HAWKES D.J., Non-rigid registration using free-form deformations: Application to breast MR images, IEEE Transactions on Medical Imaging, vol.18, no.8, pp.712-721, 1999.
• [6] JAHNKE K., Middle Ear Surgery. Current Topics in Otolaryngology-Head and Neck Surgery, Thieme Medical Publishers, Stuttgart-New York, 2004.
• [7] HAJNAL J.H., HAWKES D.J., HILL D., Medical Image Registration, CRC Press, 2001.
• [8] WELLS III W.M., VIOLA P., ATSUMI H., NAKAJIMA S., KIKINIS R., Multi-modal volume registration by maximization of mutual information, Medical Image Analysis 1(1), pp. 35-51, 1996.