Dealing with difficult deformations: construction of a knowledge-based deformation atlas

S. S. Thorup; T. A. Darvann; N. V. Hermann; P. Larsen; H. Ólafsdóttir; R. R. Paulsen; A. A. Kane; D. Govier; L.-J. Lo; S. Kreiborg; R. Larsen

doi:10.1117/12.845670

9 March 2010 Dealing with difficult deformations: construction of a knowledge-based deformation atlas

S. S. Thorup, T. A. Darvann, N. V. Hermann, P. Larsen, H. Ólafsdóttir, R. R. Paulsen, A. A. Kane, D. Govier, L.-J. Lo, S. Kreiborg, R. Larsen

Author Affiliations +

Proceedings Volume 7626, Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging; 76261X (2010) https://doi.org/10.1117/12.845670
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Twenty-three Taiwanese infants with unilateral cleft lip and palate (UCLP) were CT-scanned before lip repair at the age of 3 months, and again after lip repair at the age of 12 months. In order to evaluate the surgical result, detailed point correspondence between pre- and post-surgical images was needed. We have previously demonstrated that non-rigid registration using B-splines is able to provide automated determination of point correspondences in populations of infants without cleft lip. However, this type of registration fails when applied to the task of determining the complex deformation from before to after lip closure in infants with UCLP. The purpose of the present work was to show that use of prior information about typical deformations due to lip closure, through the construction of a knowledge-based atlas of deformations, could overcome the problem. Initially, mean volumes (atlases) for the pre- and post-surgical populations, respectively, were automatically constructed by non-rigid registration. An expert placed corresponding landmarks in the cleft area in the two atlases; this provided prior information used to build a knowledge-based deformation atlas. We model the change from pre- to post-surgery using thin-plate spline warping. The registration results are convincing and represent a first move towards an automatic registration method for dealing with difficult deformations due to this type of surgery.

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S. S. Thorup, T. A. Darvann, N. V. Hermann, P. Larsen, H. Ólafsdóttir, R. R. Paulsen, A. A. Kane, D. Govier, L.-J. Lo, S. Kreiborg, and R. Larsen "Dealing with difficult deformations: construction of a knowledge-based deformation atlas", Proc. SPIE 7626, Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging, 76261X (9 March 2010); https://doi.org/10.1117/12.845670

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KEYWORDS

Image registration

Laser induced plasma spectroscopy

Natural surfaces

Surgery

Tissues

Bone

Skin

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