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Duay V, Sinha TK, D'Haese PF, et al. Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation. Biomed Image Registration. 2003;2717:61-70doi: 10.1007/978-3-540-39701-4_7.
Duay, V., Sinha, T. K., D'Haese, P. F., Miga, M. I., & Dawant, B. M. (2003). Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation. Biomedical image registration : second international workshop, WBIR 2003, Philadelphia, PA, USA, June 23-24, 2003 : revised papers. International Workshop on Biomedical Image Registration (2nd : 2003 : Philadelphia, Pa.), 271761-70. https://doi.org/10.1007/978-3-540-39701-4_7
Duay, Valerie, et al. "Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation." Biomedical image registration : second international workshop, WBIR 2003, Philadelphia, PA, USA, June 23-24, 2003 : revised papers. International Workshop on Biomedical Image Registration (2nd : 2003 : Philadelphia, Pa.) vol. 2717 (2003): 61-70. doi: https://doi.org/10.1007/978-3-540-39701-4_7
Duay V, Sinha TK, D'Haese PF, Miga MI, Dawant BM. Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation. Biomed Image Registration. 2003;2717:61-70. doi: 10.1007/978-3-540-39701-4_7. PMID: 26069890; PMCID: PMC4460989.
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Biomed Image Registration. 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.

Biomedical image registration : second international workshop, WBIR 2003, Philadelphia, PA, USA, June 23-24, 2003 : revised papers. International Workshop on Biomedical Image Registration (2nd : 2003 : Philadelphia, Pa.)

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

PMID: 26069890 PMCID: PMC4460989 DOI: 10.1007/978-3-540-39701-4_7

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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