Date: July 2017.
Source: Medical Image Understanding and Analysis (MIUA) 2017, Edinburgh, 11-13 July 2017, pp. 731-742.
Research Summary: Building on earlier work modeling craniofacial form, researchers at the University of York and Alder Hey Children’s Hospital developed a fully automatic pipeline to construct a 2D morphable model of craniofacial sagittal profile, drawn from a 1,212-subject subset of the real-world 3dMD Headspace dataset. The team introduced Ellipse Centre Nasion (ECN), a new pose-normalization method, and compared it directly against the standard approach, Generalised Procrustes Analysis (GPA), across three evaluation metrics: compactness, specificity, and generalisation. Each method showed different strengths depending on how many model dimensions were used. The resulting model was validated in a case study of 25 craniosynostosis patients treated with two surgical techniques, Barrel Staving (BS) and Total Calvarial Remodelling (TCR), with both approaches shown to move patients’ cranial shape closer to the population mean.
Abstract:

Article: A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis.
Authors: Hang Dai, Nick Pears, Christian Duncan. Department of Computer Science, University of York, and Alder Hey Craniofacial Unit, Liverpool.

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