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The registration of medical images of different modalities

PhD research student: Yan Yang
Supervisory team: Dr Ian van der Linde, Prof Paul Ingle, Dr Rajshree Mootanah, Dr Pearl Wou, Prof Kevin Cheah
Funding body: Anglia Ruskin University research and development fund

Medical imaging is an important source of data to create accurate biomechanical simulations. Imaging data may be derived from a variety of platforms, each providing information on a particular aspect of the imaged specimen. Two ubiquitous imaging technologies are CT and MRI, resolving hard and soft tissue respectively. Image registration is the process of finding the optimal transform that maps points from one image to the corresponding points in another image.

Accurate registration techniques can be used to assemble the complementary information by combining the images generated from different instruments. Finite element (FE) methods are widely used in biomechanics. FE models of bones derived from CT scan data can yield precise geometry and material properties due to the ability of CT imaging to accurately resolve dense materials. Although orthopaedic model can be generated from CT-scan data alone, more complete modelling can be achieved by merging data from multiple sources for the study of musculo-skeletal systems.

The primary aim of this project is to design and analyse a novel algorithm for the registration of images of CT and MRI scan data for musculo-skeletal modelling. An example of the result of image registration, using this novel algorithm, is shown below.

Publications:
  • Yang, Y., Mootanah, R., Van Der Linde, I., & Ingle, P. 2006, "Accurate Extraction of Hard Tissue and Soft Tissue Models of Human Joints Using Medical Image Segmentation and Registration ", J. Middleton, M. Jones, & N. Shrive, eds., First Numerics, UK, University of Wales, College of Medicine, UK.
  • Yang, Y., Mootanah, R., Van Der Linde, I., Ingle, P., & Viceconti, M. 2005, "The Registration of CT-MRI images of biomechanical systems", Proceedings of the II International Conference on Computational Bioengineering, IST Press, Portugal.
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