Speeding-up the Fitting of the Model Defining the Ribs-bounded Contour

[1] H. Nugroho, D. Ihtatho, and H. Nugroho, “Contrast enhancement for liver tumor identification,” The MIDAS Journal - Grand Challenge Liver Tumor Segmentation (2008 MICCAI Workshop), 2008.10.54294/1uhwldSearch in Google Scholar

[2] S. Chen, D. M. Lovelock, and R. J. Radke, “Segmenting the prostate and rectum in CT imagery using anatomical constraints,” Medical Image Analysis, vol. 15, no. 1, pp. 1-11, Feb. 2011. https://doi.org/10.1016/j.media.2010.06.00410.1016/j.media.2010.06.00420634121Search in Google Scholar

[3] M. J. Bilinskas, G. Dzemyda, and M. Trakymas, “Computed tomography image analysis: The model of ribs-bounded contour,” vol. 2503. Plzen, Czech Republic: Vaclav Skala - UNION Agency, 2015, pp. 81-84.Search in Google Scholar

[4] M. J. Bilinskas and G. Dzemyda, “Optimization in modeling the ribsbounded contour from computer tomography scan,” in Numerical computations: theory and algorithms (NUMTA-2016): proceedings of the 2nd international conference, vol. 1776. Pizzo Calabro, Italy: AIP Publishing, 2016. https://doi.org/10.1063/1.496540510.1063/1.4965405Search in Google Scholar

[5] M. J. Bilinskas and G. Dzemyda, “Modelling the ribs-bounded contour in computer tomography images,” in Meždunarodnyj kongress po informatike: Informacionnye sistemy i tehnologii : Materialy meždunarodnogo naučnogo kongressa Respublika Belarus. Minsk, Belarus: BGU, 2016, pp. 198-203. [Online]. Available: http://-elib.bsu.by/bitstream/123456789/159801/1/Dzemyda_Bilinskas.pdf10.1063/1.4965405Search in Google Scholar

[6] P. Treigys, V. Šaltenis, G. Dzemyda, V. Barzdžiukas, and A. Paunksnis, “Automated optic nerve disc parameterization,” Informatica, vol. 19, no. 3, pp. 403-420, 2008.10.15388/Informatica.2008.221Search in Google Scholar

[7] F. Graf, H.-P. Kriegel, M. Schubert, S. Pölsterl, and A. Cavallaro, “2D image registration in CT images using radial image descriptors,” in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011: 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II, G. Fichtinger, A. Martel, and T. Peters, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 607-614. https://doi.org/10.1007/978-3-642-23629-7_7410.1007/978-3-642-23629-7_7421995079Search in Google Scholar

[8] F. P. M. Oliveira and J. M. R. S. Tavares, “Registration of plantar pressure images,” International Journal for Numerical Methods in Biomedical Engineering, vol. 28, no. 6-7, pp. 589-603, Aug. 2011. https://doi.org/10.1002/cnm.146110.1002/cnm.146125364840Search in Google Scholar

[9] Á. Fernández, N. Rabin, R. R. Coifman, and J. Eckstein, “Diffusion methods for aligning medical datasets: Location prediction in CT scan images,” Medical Image Analysis, vol. 18, no. 2, pp. 425-432, Feb. 2014. https://doi.org/10.1016/j.media.2013.12.00910.1016/j.media.2013.12.00924444669Search in Google Scholar

[10] Mathworks, “Unconstrained Nonlinear Optimization Algorithms,” 2016. [Online]. Available: http://se.mathworks.com/help/optim/ug/unconstrained-nonlinear-optimization-algorithms.htmlSearch in Google Scholar