This paper compares the warping of neuro-images using brain deformation predicted by means of patient-specific biomechanical model with the neuro-image registration using BSpline-based free form deformation algorithm. Deformation fields obtained from both algorithms are qualitatively compared and overlaps of edges extracted from the images are examined. Finally, an edge-based Hausdorff distance metric is defined to quantitatively evaluate the accuracy of registration for these two algorithms. From the results it is concluded that the patient-specific biomechanical model ensures higher registration accuracy than the BSpline registration algorithm.
CITATION STYLE
Mostayed, A., Garlapati, R. R., Joldes, G. R., Wittek, A., Kikinis, R., Warfield, S. K., & Miller, K. (2013). Intra-operative update of neuro-images: Comparison of performance of image warping using patient-specific biomechanical model and bspline image registration. In Computational Biomechanics for Medicine: Models, Algorithms and Implementation (pp. 127–141). Springer New York. https://doi.org/10.1007/978-1-4614-6351-1_12
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