Project

Quantification of normal craniofacial development using image registration of the inner ear in longitudinally acquired MRI scans of the head

Publisher

Supervisor

Location

Greater Copenhagen area

Treatment of children with congenital craniofacial malformations or individuals that acquire face or head trauma often includes the use of 3D imaging. In order to quantify change over time due to treatment (including surgery) and/or growth, it is necessary to carry out a comparison between two or more 3D images. This requires determination of point correspondence from one image (e.g. obtained before surgery) to another image (e.g. obtained after surgery).

This project will explore the use of image registration algorithms in order to determine so-called detailed point correspondence between a set of MR images of the same individual obtained at different times. Based on non-rigid image registration algorithms that quantify how to deform one image to best math another image, a deformation field may be studied in order to quantify and analyze the amount, localization and magnitude of change that has taken place in the face and jaws. Interpretation of the result depends on the use of a valid common reference system for all the involved images.

It is proposed to use the inner ear (semi-circular canals and/or cochlea; Figure 1) as fiducials for the registration, and a focus of this project will be to evaluate the pros and cons of the use of this reference system. A particular advantage is the known stability of the inner ear as it is fully formed before birth. The project should carry out an error analysis in order to determine precision of the measurement, and provide guidelines describing the ability of this method to be used in practice for treatment evaluation purposes.

The project has access to a unique longitudinal data material on more than 30 normal children and adolescents where MR scans have been obtained 10 times with a time interval of half a year. The project is a collaboration with 3D Lab and Danish Research Center for Magnetic Resonance at Hvidovre Hospital.

In collaboration with

3D Lab, DRCMR

Requirements

It is an advantage with earlier experience / knowledge / courses in image analysis, but not an absolute requirement. Some programming experience (e.g. in Matlab or C++) is an advantage.

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Contact

Company / Organization

DTU Compute

Name

Vedrana Andersen Dahl

Position

Lektor

Mail

vand@dtu.dk

Supervisor info

BSc in Mathematics and Technology

Supervisor

Vedrana Andersen Dahl

Type

BSc project, MSc thesis

BSc in Biomedical Engineering

Supervisor

Vedrana Andersen Dahl

Type

BSc project, MSc thesis

MSc in Mathematical Modelling and Computation

Supervisor

Vedrana Andersen Dahl

Type

BSc project, MSc thesis

MSc in Biomedical Engineering

Supervisor

Vedrana Andersen Dahl

Type

BSc project, MSc thesis

Technical University of Denmark

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