Registration of PET and MR hand volumes using Bayesian Networks

Part of book or chapter of book English OPEN
Magee, Derek ; Tanner, Steven ; Waller, Michael ; McGonagle, Dennis ; Jeavons, Alan (2005)
  • Publisher: Springer

A method for the non-rigid, multi-modal, registration of volumetric scans of human hands is presented. PET and MR scans are aligned by optimising the configuration of a tube based model using a set of Bayesian networks. Efficient optimisation is performed by posing the problem as a\ud multi-scale, local, discrete (quantised) search, and using dynamic programming. The method is to be used within a project to study the use of high-resolution HIDAC PET imagery in investigating bone growth and erosion in arthritis.\ud
  • References (12)
    12 references, page 1 of 2

    1. Myers, R.: The application of PET-MR image registration in the brain. The British Journal of Radiology 75 (2002) 31-35

    2. Woods, R., Grafton, S., Holmes, C., Cherry, S., Mazziotta, J.: Automated image registration I. Journal of Computer Assisted Tomography 22(1) (1998) 139-152

    3. Wells, W., Viola, P., Atsumi, H., Nakajima, S., Kikinis, R.: Multi-modal volume registration by maximisation of mutual information. Medical Image Analysis 1(1) (1996) 35-51

    4. Studholme, C., Hill, D., Hawkes, D.: Automated 3D registration of magnetic resonance and positron emssion tomography brain images by multi-resolution optimization of voxel similarity measures. Medical Physics 24(1) (1997) 25-35

    5. West, J., Fitzpatrick, M., Wang, M., et al.: Comparison and evaluation of retrospective intermodality brain image registration techniques. Journal of Computer Assisted Tomography 21(4) (1997) 554-566

    6. Makela, T., Pham, Q., Clarysse, P., Neonen, J., Lotjonen, J., Sipila, O., Hanninen, H., Lauerma, K., Knuuti, J., Katila, T., Magnin, I.: A 3D model-based registration approach for the PET, MR and MCG cardiac data fusion. Medical Image Analysis 7(3) (2003) 377-389

    7. Farahani, K., Slates, R., Shao, Y., Silverman, R., Cherry, S.: Contemporaneous positron emission tomography and MR imaging at 1.5T. Journal of Magnetic Resonance Imaging 9 (1999) 497-500

    8. Hogg, D.: Model-based vision: A program to see a walking person. Image and Vision Computing 1 (1983) 5-20

    9. Rehg, J., Kanade, T.: Visual tracking of high DOF atriculated structures: An application to human hand tracking. In: Proc. European Conference on Computer Vision. (1994) 35-46

    10. Stenger, B., Mendonca, P., Cipolla, R.: Model-based hand tracking using an unscented kalman filter. In: Proc. British Machine Vision Conference. (2001) 53-72

  • Metrics
    0
    views in OpenAIRE
    0
    views in local repository
    16
    downloads in local repository

    The information is available from the following content providers:

    From Number Of Views Number Of Downloads
    White Rose Research Online - IRUS-UK 0 16
Share - Bookmark