Locally Affine Diffeomorphic Surface Registration for Planning of Metopic Craniosynostosis Surgery

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10434)


The outcome of cranial vault reconstruction for the surgical treatment of craniosynostosis heavily depends on the surgeon’s expertise because of the lack of an objective target shape. We introduce a surface-based diffeomorphic registration framework to create the optimal post-surgical cranial shape during craniosynostosis treatment. Our framework estimates and labels where each bone piece needs to be cut using a reference template. Then, it calculates how much each bone piece needs to be translated and in which direction, using the closest normal shape from a multi-atlas as a reference. With our locally affine approach, the method also allows for bone bending, modeling independently the transformation of each bone piece while ensuring the consistency of the global transformation. We evaluated the optimal plan for 15 patients with metopic craniosynostosis. Our results showed that the automated surgical planning creates cranial shapes with a reduction in cranial malformations of 51.43% and curvature discrepancies of 35.09%, which are the two indices proposed in the literature to quantify cranial deformities objectively. In addition, the cranial shapes created were within healthy ranges.



This work was partly funded by the National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development under grant NIH 5R42HD081712.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Sheikh Zayed Institute for Pediatric Surgical InnovationChildren’s National Health SystemWashington, D.C.USA
  2. 2.Kitware Inc.CarrboroUSA
  3. 3.Division of NeurosurgeryChildren’s National Health SystemWashington, D.C.USA
  4. 4.Division of Plastic and Reconstructive SurgeryChildren’s National Health SystemWashington, D.C.USA
  5. 5.School of Medicine and Health SciencesGeorge Washington UniversityWashington, D.C.USA

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