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. 2003:2717:61-70.
doi: 10.1007/978-3-540-39701-4_7.

Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation

Valerie Duay, Tuhin K Sinha, Pierre-François D'Haese, Michael I Miga, Benoit M Dawant

Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation

Valerie Duay et al. Biomed Image Registration. 2003.

Abstract

Measurement of intra-operative brain motion is important to provide boundary conditions to physics-based deformation models that can be used to register pre- and intra-operative information. In this paper we present and test a technique that can be used to measure brain surface motion automatically. This method relies on a tracked laser range scanner (LRS) that can acquire simultaneously a picture and the 3D physical coordinates of objects within its field of view. This reduces the 3D tracking problem to a 2D non-rigid registration problem which we solve with a Mutual Information-based algorithm. Results obtained on images of a phantom and on images acquired intra-operatively that demonstrate the feasibility of the method are presented.

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Figures

Fig. 1
Fig. 1
Example of 2D images used in this study.
Fig. 2
Fig. 2
Registration results for the phantom case.
Fig. 3
Fig. 3
In vivo undeformed and deformed images after rigid and non rigid registration. Landmarks used for validation have been superposed as well as corresponding contours.
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