Abstract
Image registration is an inherently ill-posed problem. Therefore one typically aims to provide as much information about the underlying application as possible. In particular for tumor monitoring, volume preservation of the wanted deformation is a central point. Based on [9], we propose a new scale space approach to volume preserving image registration. The main advantage of the new approach is that the constraints appear linearly and therefore the system matrices resembles Stokes matrices, which appears in computational fluid dynamics.
We present the scale space framework, a composition based numerical approach and its implementation. Finally, we demonstrate the outstanding features of this idea by a real life example.
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Haber, E., Modersitzki, J. (2005). A Scale Space Method for Volume Preserving Image Registration. In: Kimmel, R., Sochen, N.A., Weickert, J. (eds) Scale Space and PDE Methods in Computer Vision. Scale-Space 2005. Lecture Notes in Computer Science, vol 3459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11408031_48
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DOI: https://doi.org/10.1007/11408031_48
Publisher Name: Springer, Berlin, Heidelberg
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