Paper Info
Title
Locally Affine Diffeomorphic Surface Registration for Planning of Metopic Craniosynostosis Surgery.
Abstract
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.
Year
DOI
Venue
2017
10.1007/978-3-319-66185-8_54
MICCAI
Field
DocType
Volume
Affine transformation,Computer vision,Surgical planning,Curvature,Craniosynostosis,Computer science,Craniosynostoses,Skull,Artificial intelligence,Surgery,Diffeomorphism,Cranial vault
Conference
10434
Citations 
PageRank 
References 
0
0.34
3
Authors
8
Name
Order
Citations
PageRank
Antonio R. Porras1114.77
Beatriz Paniagua23414.25
Andinet Enquobahrie37315.45
Scott Ensel400.68
Hina Shah500.34
Robert T. Keating600.68
Gary F. Rogers762.82
Marius George Linguraru836248.94