Date: June 24, 2015.
Source: European Craniofacial Congress 2015, Gothenburg, Sweden.
Summary: Being able to compare images is one of the core technologies of medical image analysis. In order to quantify change, e.g. due to growth or surgery, it is necessary to compare two or more images. And as part of population studies it is often required to compare many images in order to quantify variability. Even in order to analyze a single image it comes in handy to be able to compare it to a reference image or atlas; e.g. for diagnostic purposes. In this lecture I will focus on the notion of establishment of detailed point correspondence which may be defined as the process of finding corresponding anatomical locations between a set of images. A popular method that facilitates this process is non-rigid image registration. Once detailed point correspondence has been established it becomes meaningful to compare images at all the locations of correspondence, making it possible to quantify e.g. shape and asymmetry. The lecture will exemplify the use of these techniques on surface scans, CT, micro-CT and MRI images and in the contexts of treatment outcome evaluation in children with deformational plagiocephaly, mean and variation of facial asymmetry in children with TMJ arthritis, quantification of growth in a mouse model of Crouzon syndrome, and quantification of facial shape and nose asymmetry in infants with cleft lip and palate.
Presentation: Methods for Extraction and Analysis of Shape and Asymmetry from Craniofacial 3D Images.
Presenter: Tron A Darvann, 3D Craniofacial Image Research Laboratory (School of Dentistry, University of Copenhagen; Centre of Head and Orthopaedics, Copenhagen University Hospital Rigshospitalet; and DTU Compute, Technical University of Denmark), Copenhagen, Denmark